At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 04, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Job Title: Quantitative Python Developer Location: City of London Client:Multi-Strategy Investment Manager Package: £200,000 OTE About the Client: Our client is a prestigious multi-strategy investment manager committed to pushing the boundaries of quantitative finance. With a focus on innovation and excellence, they are dedicated to delivering superior results for their clients. They offer a dynamic and collaborative work environment where talented professionals can thrive and make a significant impact. Position Overview: Our client is seeking a skilled Quantitative Python Developer to join their team. The ideal candidate will have 3 to 5 years of experience as a Junior Quantitative Developer, with a strong foundation in Python programming within the quantitative finance domain. Candidates should have a proven track record of working on quant systems and possess a deep understanding of quantitative methodologies. Responsibilities: - Collaborate with quantitative researchers and traders to develop and implement advanced trading strategies and models.- Utilise Python to build and maintain robust and efficient quant systems, including data processing pipelines, risk management tools, and algorithmic trading platforms.- Conduct quantitative analysis and research to support the development and enhancement of trading algorithms.- Optimise and streamline quantitative processes to improve efficiency and accuracy.- Work closely with cross-functional teams to integrate quantitative models into trading systems. Requirements: - Bachelor's, Master's, or PhD degree in Mathematics, Computer Science, Physics, Engineering, or a related field from a Russel Group university.- 3 to 5 years of experience as a Junior Quantitative Developer in the financial industry.- Proficiency in Python programming language with a focus on quantitative finance applications.- Strong understanding of mathematical and statistical concepts relevant to quantitative finance, such as stochastic calculus, probability theory, and time series analysis.- Experience working on quant systems and familiarity with quantitative libraries and frameworks.- Excellent problem-solving skills and attention to detail.- Effective communication skills and ability to collaborate in a team environment. Preferred Qualifications: - Knowledge of other programming languages such as Java, C++, or R.- Familiarity with financial markets, trading instruments, and risk management principles.- Experience with data analysis tools and techniques, such as pandas, NumPy, or SciPy.- Previous exposure to machine learning and AI techniques in a financial context. Benefits: - Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance plans.- Generous holiday and leave policies.- Retirement savings plan with employer contributions.- Opportunities for professional development and further education. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
May 02, 2024
Full time
Job Title: Quantitative Python Developer Location: City of London Client:Multi-Strategy Investment Manager Package: £200,000 OTE About the Client: Our client is a prestigious multi-strategy investment manager committed to pushing the boundaries of quantitative finance. With a focus on innovation and excellence, they are dedicated to delivering superior results for their clients. They offer a dynamic and collaborative work environment where talented professionals can thrive and make a significant impact. Position Overview: Our client is seeking a skilled Quantitative Python Developer to join their team. The ideal candidate will have 3 to 5 years of experience as a Junior Quantitative Developer, with a strong foundation in Python programming within the quantitative finance domain. Candidates should have a proven track record of working on quant systems and possess a deep understanding of quantitative methodologies. Responsibilities: - Collaborate with quantitative researchers and traders to develop and implement advanced trading strategies and models.- Utilise Python to build and maintain robust and efficient quant systems, including data processing pipelines, risk management tools, and algorithmic trading platforms.- Conduct quantitative analysis and research to support the development and enhancement of trading algorithms.- Optimise and streamline quantitative processes to improve efficiency and accuracy.- Work closely with cross-functional teams to integrate quantitative models into trading systems. Requirements: - Bachelor's, Master's, or PhD degree in Mathematics, Computer Science, Physics, Engineering, or a related field from a Russel Group university.- 3 to 5 years of experience as a Junior Quantitative Developer in the financial industry.- Proficiency in Python programming language with a focus on quantitative finance applications.- Strong understanding of mathematical and statistical concepts relevant to quantitative finance, such as stochastic calculus, probability theory, and time series analysis.- Experience working on quant systems and familiarity with quantitative libraries and frameworks.- Excellent problem-solving skills and attention to detail.- Effective communication skills and ability to collaborate in a team environment. Preferred Qualifications: - Knowledge of other programming languages such as Java, C++, or R.- Familiarity with financial markets, trading instruments, and risk management principles.- Experience with data analysis tools and techniques, such as pandas, NumPy, or SciPy.- Previous exposure to machine learning and AI techniques in a financial context. Benefits: - Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance plans.- Generous holiday and leave policies.- Retirement savings plan with employer contributions.- Opportunities for professional development and further education. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Position Summary This position is within Acadia's Expert Service Division. Acadia is wholly owned by LSEG (London Stock Exchange Group) and is part of its Post Trade division. Based on his/her established network and understanding of the consultancy business the Partner is responsible for the development of Acadia's UK quantitative consulting business. This includes the acquisition of new clients, the development of cutting edge topics into client projects as well as the growth of the UK consultant team. Role Responsibilities Drive growth of Acadia's London based Quantitative consulting business, in particular: Establish new, lasting client relationships Identify new business opportunities in current market trends and regulatory requirements and turn them into viable client projects Drive the growth of the UK consultant team Collaborate with other LSEG quant teams to uncover untapped external growth opportunities Coach and develop Junior colleagues' quantitative finance and client-facing consulting skills Oversee multiple projects simultaneously Develop a working knowledge of Acadia sponsored Open Risk Engine (ORE) and incorporate into own client offering Contribute to Acadia's marketing activities with e.g. publications, attending/speaking at industry conferences, support in the preparation of marketing documents etc. Support colleagues in his/her area of expertise in projects and in pitches Perform regular sales forecasting and planning Experience and Qualifications Required 12+ years of experience in Quantitative Finance and Consulting, A successful track record delivering complex client projects and developing client relationships Ability and ambition to develop Acadia's UK Quant Consulting business Ability to lead and develop our international team of consultants Strong Quantitative background with cross asset experience in: Front office valuation/pricing models, Counterparty Credit Risk, XVA, Market risk, Model Validation, Initial Margin modelling Solid understanding of EU and UK regulations applicable to OTC derivatives, and associated model risk management and capital requirements Working knowledge of C++ and Python Ability to communicate to Senior/Top management Strong project management and delivery capability Ability to oversee multiple projects Willingness to travel LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
May 01, 2024
Full time
Position Summary This position is within Acadia's Expert Service Division. Acadia is wholly owned by LSEG (London Stock Exchange Group) and is part of its Post Trade division. Based on his/her established network and understanding of the consultancy business the Partner is responsible for the development of Acadia's UK quantitative consulting business. This includes the acquisition of new clients, the development of cutting edge topics into client projects as well as the growth of the UK consultant team. Role Responsibilities Drive growth of Acadia's London based Quantitative consulting business, in particular: Establish new, lasting client relationships Identify new business opportunities in current market trends and regulatory requirements and turn them into viable client projects Drive the growth of the UK consultant team Collaborate with other LSEG quant teams to uncover untapped external growth opportunities Coach and develop Junior colleagues' quantitative finance and client-facing consulting skills Oversee multiple projects simultaneously Develop a working knowledge of Acadia sponsored Open Risk Engine (ORE) and incorporate into own client offering Contribute to Acadia's marketing activities with e.g. publications, attending/speaking at industry conferences, support in the preparation of marketing documents etc. Support colleagues in his/her area of expertise in projects and in pitches Perform regular sales forecasting and planning Experience and Qualifications Required 12+ years of experience in Quantitative Finance and Consulting, A successful track record delivering complex client projects and developing client relationships Ability and ambition to develop Acadia's UK Quant Consulting business Ability to lead and develop our international team of consultants Strong Quantitative background with cross asset experience in: Front office valuation/pricing models, Counterparty Credit Risk, XVA, Market risk, Model Validation, Initial Margin modelling Solid understanding of EU and UK regulations applicable to OTC derivatives, and associated model risk management and capital requirements Working knowledge of C++ and Python Ability to communicate to Senior/Top management Strong project management and delivery capability Ability to oversee multiple projects Willingness to travel LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA, and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and signoff of daily P&L for all of market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models. Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKILLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java). Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA, and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and signoff of daily P&L for all of market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models. Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKILLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java). Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Job title: Linux System Engineer Salary: Up to GBP $90,000 + Bonus Client: World-leading, award-winning Quant Fund Location: London, Sydney, Dubai, Shanghai Experience level: 1-7 years Benefits: Great salary package, exceptional bonuses, and industry-leading benefits An elite-level, award-winning Quant Fund in Dubai is looking for a talented and passionate System Specialist to join their team (London/Sydney/Dubai/Shanghai) and play a critical role in managing and supporting the company's global trading platform. The company is looking for someone who is passionate about what they do and has the desire to continuously develop and grow career-wise. Joining this company would immediately make you one of the most desired System Engineers. Desired Skills/Experience Exp in a Linux/Unix environment Experience in operations, systems, and engineering tasks Expertise in containerization technologies within Linux environments Proficient in scripting and programming (Python, Go, Bash) Experienced in managing tools and protocols including Gitlab, Kafka etc Capable of building and deploying using GitOps workflows Skilled in container technologies such as Kubernetes and Docker/Podman Created and enhanced CI/CD pipelines and automation experience Why work there? Opportunity to work with some of the latest, most sophisticated technology in the world Dynamic environment - new and exciting challenges every day, and no two days will be the same Very friendly and collaborative environment Heavy emphasis on investing in your personal development Excellent salary with outstanding bonuses (which are guaranteed) The client is happy to wait for notice periods and bonuses to be paid. Also, a full job spec is available. Preferred; Hedgefund/Quant/Finance/Front office knowledge If interested, then please apply with your updated CV ASAP.
May 01, 2024
Full time
Job title: Linux System Engineer Salary: Up to GBP $90,000 + Bonus Client: World-leading, award-winning Quant Fund Location: London, Sydney, Dubai, Shanghai Experience level: 1-7 years Benefits: Great salary package, exceptional bonuses, and industry-leading benefits An elite-level, award-winning Quant Fund in Dubai is looking for a talented and passionate System Specialist to join their team (London/Sydney/Dubai/Shanghai) and play a critical role in managing and supporting the company's global trading platform. The company is looking for someone who is passionate about what they do and has the desire to continuously develop and grow career-wise. Joining this company would immediately make you one of the most desired System Engineers. Desired Skills/Experience Exp in a Linux/Unix environment Experience in operations, systems, and engineering tasks Expertise in containerization technologies within Linux environments Proficient in scripting and programming (Python, Go, Bash) Experienced in managing tools and protocols including Gitlab, Kafka etc Capable of building and deploying using GitOps workflows Skilled in container technologies such as Kubernetes and Docker/Podman Created and enhanced CI/CD pipelines and automation experience Why work there? Opportunity to work with some of the latest, most sophisticated technology in the world Dynamic environment - new and exciting challenges every day, and no two days will be the same Very friendly and collaborative environment Heavy emphasis on investing in your personal development Excellent salary with outstanding bonuses (which are guaranteed) The client is happy to wait for notice periods and bonuses to be paid. Also, a full job spec is available. Preferred; Hedgefund/Quant/Finance/Front office knowledge If interested, then please apply with your updated CV ASAP.
My client - one of the industry's leading global investment managers - is looking to hire a Quantitative Developer to join the Algo Development Trading Technology team as they build a new Volatility Trading system. They're developing a systematic trading platform for trading options which includes: Option execution algorithms to optimize execution for Portfolio Managers globally Analytics to support post-trade analysis and TCA As a Quantitative Developer, you'll play a vital role in designing, implementing, and maintaining options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge. Responsibilities: Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code. Develop, optimize, and maintain software applications for options trading, primarily using C++ (ideally version 17 or better). Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution. Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance. Conduct thorough testing and debugging of software components, resolving any issues or discrepancies. Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or a related field. 10+ years of work experience, of which at least 5 is in building automated options trading systems. Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial. Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued. Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics. Candidates should possess a solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc. Good understanding of different option markets and market mechanisms of options market microstructure. Good knowledge of option auction and expiration process and the market impact. Good knowledge of products traded by volatility traders, e.g.: Equity Options Index Options Spreads on Equity and Index options (Complex Options) Variance Swap (Var Swap) Volatility Swap (Vol Swap) Strong knowledge of options trading business, including concepts, strategies, and risk management. Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming. Proficiency in software development methodologies, version control systems, and debugging tools. Experience with C++ testing framework such as google fixtures and code coverage tools as gcov. Familiarity with distributed systems, high-performance computing, and algorithm optimization. Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Self-motivated, detail-oriented, and able to work independently in a fast-paced environment. Preferred Qualifications: Previous experience in options trading or algorithmic trading systems development. Proficiency in other programming languages such as Python. Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing. Experience with building analytics tool using KDB. Knowledge of quantitative finance, statistical analysis, and regression. Familiarity with options trading markets. If you are passionate about options trading, possess strong C++ skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Come and be part of a dynamic team dedicated to pushing the boundaries of finance and technology. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
My client - one of the industry's leading global investment managers - is looking to hire a Quantitative Developer to join the Algo Development Trading Technology team as they build a new Volatility Trading system. They're developing a systematic trading platform for trading options which includes: Option execution algorithms to optimize execution for Portfolio Managers globally Analytics to support post-trade analysis and TCA As a Quantitative Developer, you'll play a vital role in designing, implementing, and maintaining options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge. Responsibilities: Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code. Develop, optimize, and maintain software applications for options trading, primarily using C++ (ideally version 17 or better). Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution. Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance. Conduct thorough testing and debugging of software components, resolving any issues or discrepancies. Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or a related field. 10+ years of work experience, of which at least 5 is in building automated options trading systems. Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial. Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued. Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics. Candidates should possess a solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc. Good understanding of different option markets and market mechanisms of options market microstructure. Good knowledge of option auction and expiration process and the market impact. Good knowledge of products traded by volatility traders, e.g.: Equity Options Index Options Spreads on Equity and Index options (Complex Options) Variance Swap (Var Swap) Volatility Swap (Vol Swap) Strong knowledge of options trading business, including concepts, strategies, and risk management. Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming. Proficiency in software development methodologies, version control systems, and debugging tools. Experience with C++ testing framework such as google fixtures and code coverage tools as gcov. Familiarity with distributed systems, high-performance computing, and algorithm optimization. Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Self-motivated, detail-oriented, and able to work independently in a fast-paced environment. Preferred Qualifications: Previous experience in options trading or algorithmic trading systems development. Proficiency in other programming languages such as Python. Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing. Experience with building analytics tool using KDB. Knowledge of quantitative finance, statistical analysis, and regression. Familiarity with options trading markets. If you are passionate about options trading, possess strong C++ skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Come and be part of a dynamic team dedicated to pushing the boundaries of finance and technology. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker.
Apr 30, 2024
Full time
We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 30, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Job Introduction Media Distribution Analytics is the BBC's team that knows what your streaming experience was while watching Wimbledon on iPlayer or listening to your favourite podcast on BBC Sounds. The BBC's future is dependent on delivering content to an ever-growing online audience and setting the industry standard for a world-class ondemand and live streaming experience. That means playing content back flawlessly and offering the best quality media to our audience, so that we continue to deliver news, entertainment and the UK's most prestigious live events that delight our audiences. To achieve these goals the Media Distribution Analytics team develop the data products and pipelines that ingest, measure and visualise the audience experience and allow us to take action, often in real-time, in addition to informing long term capacity requirements and performance. This is a data engineering team that processes enormous quantities of data, and works closely with device playback and the BBC's own internal Content Distribution Network (BIDI) teams, as well as third party network suppliers, to help make the online streaming experience the best it can possibly be. Role Responsibility Design and build data products to understand media distribution within the BBC. Maintain and extend a petabyte-scale media distribution datalake and ETL process. Develop our realtime stream processing pipeline used for operational monitoring. Collaborate with stakeholders and engineers to find new requirements, ensure products are impactful and add value. Establish culture of engineering excellence and guide junior members of the team Are you the right candidate? Enjoy creating data products and working with big-data technologies Practical experience maintaining large batch/streaming data processing pipelines using technologies including Flink/Spark/BEAM/Kafka Extensive experience with programming languages used for data engineering and associated services: Java/Python/SQL/Go Experience deploying code to cloud platforms and using infrastructure-as-code Knowledgable of various data storage solutions and formats: NoSQL/Columnar/Time-series/RDBMS/Parquet/Avro and services: BigQuery/Athena/Snowflake Ability to work independently and maintain high standards Have worked with data visualisation platforms: Grafana/Looker/PowerBI/Tableau Package Description Band: D Contract type: Permanent Location: London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Sep 23, 2022
Full time
Job Introduction Media Distribution Analytics is the BBC's team that knows what your streaming experience was while watching Wimbledon on iPlayer or listening to your favourite podcast on BBC Sounds. The BBC's future is dependent on delivering content to an ever-growing online audience and setting the industry standard for a world-class ondemand and live streaming experience. That means playing content back flawlessly and offering the best quality media to our audience, so that we continue to deliver news, entertainment and the UK's most prestigious live events that delight our audiences. To achieve these goals the Media Distribution Analytics team develop the data products and pipelines that ingest, measure and visualise the audience experience and allow us to take action, often in real-time, in addition to informing long term capacity requirements and performance. This is a data engineering team that processes enormous quantities of data, and works closely with device playback and the BBC's own internal Content Distribution Network (BIDI) teams, as well as third party network suppliers, to help make the online streaming experience the best it can possibly be. Role Responsibility Design and build data products to understand media distribution within the BBC. Maintain and extend a petabyte-scale media distribution datalake and ETL process. Develop our realtime stream processing pipeline used for operational monitoring. Collaborate with stakeholders and engineers to find new requirements, ensure products are impactful and add value. Establish culture of engineering excellence and guide junior members of the team Are you the right candidate? Enjoy creating data products and working with big-data technologies Practical experience maintaining large batch/streaming data processing pipelines using technologies including Flink/Spark/BEAM/Kafka Extensive experience with programming languages used for data engineering and associated services: Java/Python/SQL/Go Experience deploying code to cloud platforms and using infrastructure-as-code Knowledgable of various data storage solutions and formats: NoSQL/Columnar/Time-series/RDBMS/Parquet/Avro and services: BigQuery/Athena/Snowflake Ability to work independently and maintain high standards Have worked with data visualisation platforms: Grafana/Looker/PowerBI/Tableau Package Description Band: D Contract type: Permanent Location: London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Salary: £700-850 per day inside IR35 Who we're looking for We're looking for a passionate Python engineer to work within the Front Office Technology team. You'll work with likeminded technologists, with a variety of skill sets, focused on building best of breed data processing, workflow and analytical tools for processes such as investment research, Datamodelling and portfolio construction using modern, appropriate technologies. We're after an adaptable engineer to work within a team that delivers software that's fast, reliable, and has a tangible impact on our business. Ideally, you'll have a good understanding of asset management and financial markets. The team The Front Office Technology team are at the forefront of building Alpha generating solutions for areas including investment research, quantitative investing and proprietary ESG models and metrics. The team are located on-desk, where there's strong collaboration and co-creation with the quants and portfolio managers for both research and investment activities. You'll work with a team of enthusiastic individuals who are passionate about software in a financial context and evolving our investment platform. They're also keen on driving positive technology change, ensuring that we always stay ahead of the curve. About We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,500 people on six continents and we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Location We moved into our new HQ in the City of London in 2018, located close to our clients in the heart of the UK's financial centre. What you'll do Be part of a business facing team with a high visibility Deliver a first class data and analytics platform to support investment decision making and quantitative research Refine the existing investment and research platform in response to business needs Work with the quants to adopt Python and transition their ideas and processes to it Build reusable components and packages for wider use Coach and develop more junior team members, ensuring that best practices and methodologies are followed Help build out a Python capability across Front Office Technology The knowledge, experience and qualifications you need Strong Python development experience, in an enterprise environment Python library knowledge including packages such as FastAPI and Dash Experience with both SQL and NoSQL database platforms An understanding of data structures and common data transformation methodologies A drive to deliver with an ability to own a piece of work from start to finish Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD Able to deal credibly with business and technical users at all levels of the organisation The knowledge, experience and qualifications that will help Proficiency in the Linux environment Experience using Docker containers and preferably Kubernetes Experience with cloud (AWS or Azure) A Computer Science and Financial Services background What you'll be like Passionate about technology and how it evolves A problem solver with a business facing personality Able to work under pressure, on several priorities at once Great at working with other people, sharing and communicating ideas
Sep 21, 2022
Contractor
Salary: £700-850 per day inside IR35 Who we're looking for We're looking for a passionate Python engineer to work within the Front Office Technology team. You'll work with likeminded technologists, with a variety of skill sets, focused on building best of breed data processing, workflow and analytical tools for processes such as investment research, Datamodelling and portfolio construction using modern, appropriate technologies. We're after an adaptable engineer to work within a team that delivers software that's fast, reliable, and has a tangible impact on our business. Ideally, you'll have a good understanding of asset management and financial markets. The team The Front Office Technology team are at the forefront of building Alpha generating solutions for areas including investment research, quantitative investing and proprietary ESG models and metrics. The team are located on-desk, where there's strong collaboration and co-creation with the quants and portfolio managers for both research and investment activities. You'll work with a team of enthusiastic individuals who are passionate about software in a financial context and evolving our investment platform. They're also keen on driving positive technology change, ensuring that we always stay ahead of the curve. About We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,500 people on six continents and we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Location We moved into our new HQ in the City of London in 2018, located close to our clients in the heart of the UK's financial centre. What you'll do Be part of a business facing team with a high visibility Deliver a first class data and analytics platform to support investment decision making and quantitative research Refine the existing investment and research platform in response to business needs Work with the quants to adopt Python and transition their ideas and processes to it Build reusable components and packages for wider use Coach and develop more junior team members, ensuring that best practices and methodologies are followed Help build out a Python capability across Front Office Technology The knowledge, experience and qualifications you need Strong Python development experience, in an enterprise environment Python library knowledge including packages such as FastAPI and Dash Experience with both SQL and NoSQL database platforms An understanding of data structures and common data transformation methodologies A drive to deliver with an ability to own a piece of work from start to finish Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD Able to deal credibly with business and technical users at all levels of the organisation The knowledge, experience and qualifications that will help Proficiency in the Linux environment Experience using Docker containers and preferably Kubernetes Experience with cloud (AWS or Azure) A Computer Science and Financial Services background What you'll be like Passionate about technology and how it evolves A problem solver with a business facing personality Able to work under pressure, on several priorities at once Great at working with other people, sharing and communicating ideas
EY's Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance and business disputes. The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture, to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes and proactive risk detection. Our projects primarily involve FTSE100 clients covering a wide range of industries such as Life sciences, Oil & Gas, Government and Telecoms. Your key responsibilities Work with blue chip clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end to end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, Business Information reporting and visualisation software Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in Java, Scala, SQL, Python and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure / GCP cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to 'get to the bottom' of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Who we are: EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
Feb 04, 2022
Full time
EY's Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance and business disputes. The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture, to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes and proactive risk detection. Our projects primarily involve FTSE100 clients covering a wide range of industries such as Life sciences, Oil & Gas, Government and Telecoms. Your key responsibilities Work with blue chip clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end to end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, Business Information reporting and visualisation software Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in Java, Scala, SQL, Python and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure / GCP cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to 'get to the bottom' of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Who we are: EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
About the job Offering Ediphy is looking for a handful of exceptional graduates to join our development team - working with our state-of-the-art trading platform and data analytics systems. We are offering a six-week intensive internship designed to assess a graduate's potential to become a full-time member of our team (successful graduates are likely to be offered a full-time role). An ideal candidate will be able to apply their knowledge and experience in software development to the fast paced and challenging environment we face as a modern, dynamic and quickly growing financial services company. About us Ediphy is an FCA regulated fintech company located in London that specialises within the fixed income market; an end-to-end integrated trading partner to the buy-side that provides our clients with pre-trade, execution and post-trade proficiency. Through our hosted technology, we deliver a comprehensive and complete market view via trade data, advanced analytics, greater access to new liquidity pools and a fully managed trading service designed to deliver improved execution outcomes for our clients. Ediphy is also a leading force spearheading advancement in the development of a consolidated tape designed for the European bond markets. Role summary/ What you can expect The role requires candidates to bring existing technical excellence to the team. A primary individual project will be assigned, which is designed to stretch the candidate's technical ability - while working in unison with other members of the development team in other areas. Depending on where the company places graduate intake, the role may allow graduates the opportunity to work with Ediphy's quantitative trader on the company's trading desk in the development of algorithmic trading strategies and manual trading. The programme is an excellent opportunity for candidates to apply their skills to real working scenarios. Ediphy's six-week programme is designed to be fast-paced and challenging for our intake, we welcome candidates that have an incredibly strong ethic for independent working and problem solving. Competencies and skills needed Mandatory Candidates who already have a high level of technical ability (demonstrable knowledge in at least one modern programming language and software development principles) Minimum of a 2:1 degree or above in computer science or STEM background Coding experienced is required Individuals who have a passion for technical analysis and technical problem resolution Interest in computer science & capital markets Positioned to become a full-time employee after the completion of the six-week internship Desirable Exposure to additional programming languages: Python, JavaScript, Java, C++ Exposure to cloud platforms and technologies e.g. Kubernetes Previous work experience within an IT domain Behavioural Analytical: An individual who is able to identify a software issue and isolate it by process of elimination Self-starter: An individual who can independently tackle problem solving issues Effective and open communicator: Ediphy has a strong ethos of transparency and openness within the company Problem solver: An individual who is both able to solve problems independently without much supervision and in collaboration with others Versatile: An individual who can adapt to different functions or activities Seniority level Entry level Employment type Full-time Industry Information, Technology and Services Computer Software, Financial Markets Job functions Engineering, Information Technology, Trading
Oct 01, 2021
Full time
About the job Offering Ediphy is looking for a handful of exceptional graduates to join our development team - working with our state-of-the-art trading platform and data analytics systems. We are offering a six-week intensive internship designed to assess a graduate's potential to become a full-time member of our team (successful graduates are likely to be offered a full-time role). An ideal candidate will be able to apply their knowledge and experience in software development to the fast paced and challenging environment we face as a modern, dynamic and quickly growing financial services company. About us Ediphy is an FCA regulated fintech company located in London that specialises within the fixed income market; an end-to-end integrated trading partner to the buy-side that provides our clients with pre-trade, execution and post-trade proficiency. Through our hosted technology, we deliver a comprehensive and complete market view via trade data, advanced analytics, greater access to new liquidity pools and a fully managed trading service designed to deliver improved execution outcomes for our clients. Ediphy is also a leading force spearheading advancement in the development of a consolidated tape designed for the European bond markets. Role summary/ What you can expect The role requires candidates to bring existing technical excellence to the team. A primary individual project will be assigned, which is designed to stretch the candidate's technical ability - while working in unison with other members of the development team in other areas. Depending on where the company places graduate intake, the role may allow graduates the opportunity to work with Ediphy's quantitative trader on the company's trading desk in the development of algorithmic trading strategies and manual trading. The programme is an excellent opportunity for candidates to apply their skills to real working scenarios. Ediphy's six-week programme is designed to be fast-paced and challenging for our intake, we welcome candidates that have an incredibly strong ethic for independent working and problem solving. Competencies and skills needed Mandatory Candidates who already have a high level of technical ability (demonstrable knowledge in at least one modern programming language and software development principles) Minimum of a 2:1 degree or above in computer science or STEM background Coding experienced is required Individuals who have a passion for technical analysis and technical problem resolution Interest in computer science & capital markets Positioned to become a full-time employee after the completion of the six-week internship Desirable Exposure to additional programming languages: Python, JavaScript, Java, C++ Exposure to cloud platforms and technologies e.g. Kubernetes Previous work experience within an IT domain Behavioural Analytical: An individual who is able to identify a software issue and isolate it by process of elimination Self-starter: An individual who can independently tackle problem solving issues Effective and open communicator: Ediphy has a strong ethos of transparency and openness within the company Problem solver: An individual who is both able to solve problems independently without much supervision and in collaboration with others Versatile: An individual who can adapt to different functions or activities Seniority level Entry level Employment type Full-time Industry Information, Technology and Services Computer Software, Financial Markets Job functions Engineering, Information Technology, Trading
Data Science Engineer Up to £80,000 + stock options + bonus UK Based Remote Are you an experienced machine learning engineer who has built machine learning models to optimize and improve AI products? Are you looking for fast-career progression in a leading data-driven tech company? THE COMPANY: As a Data Science Engineer, you will work alongside the data science team to optimize and improve their line of successful AI products and machine learning platform. They have received several rounds of investment and funding, so have a big drive to grow out the data science team which is essential to the business. You will have the opportunity to mentor junior data scientists and move quickly into a Lead position in the team. THE ROLE: The role of Data Science Engineer will require you to build machine learning solutions end-to-end to develop and improve the data platform and products, as well as presenting to senior stakeholder and clients. In specific, you can expect to be involved in the following You will be involved in building machine learning models from scratch through to deployment You will design and implement new models to add value, with opportunity for future R&D You will be a self-starter and bring new ideas and techniques and think outside the box You will be interacting with clients and stakeholders to explain various models and AI products You will mentor/ manage junior data scientists in the growing team, with the opportunity to progress quickly to leadership YOUR SKILLS AND EXPERIENCE: The successful Data Science Engineer will have the following skills and experience: Educated to MSc/ PhD level in a STEM degree focused in quantitative methods and statistics (Science, Technology, Engineering, Mathematics etc) Extensive applied commercial experience coding in Python Experience building and deploying ML models from scratch to production Excellent communication skills and a strong "go-getter" attitude THE BENEFITS: The successful Data Science Engineer will receive a salary, dependent on experience be up to £80,000. HOW TO APPLY: Please register your interest by sending your CV to Rosie O'Callaghan via the Apply link on this page.
Sep 30, 2021
Full time
Data Science Engineer Up to £80,000 + stock options + bonus UK Based Remote Are you an experienced machine learning engineer who has built machine learning models to optimize and improve AI products? Are you looking for fast-career progression in a leading data-driven tech company? THE COMPANY: As a Data Science Engineer, you will work alongside the data science team to optimize and improve their line of successful AI products and machine learning platform. They have received several rounds of investment and funding, so have a big drive to grow out the data science team which is essential to the business. You will have the opportunity to mentor junior data scientists and move quickly into a Lead position in the team. THE ROLE: The role of Data Science Engineer will require you to build machine learning solutions end-to-end to develop and improve the data platform and products, as well as presenting to senior stakeholder and clients. In specific, you can expect to be involved in the following You will be involved in building machine learning models from scratch through to deployment You will design and implement new models to add value, with opportunity for future R&D You will be a self-starter and bring new ideas and techniques and think outside the box You will be interacting with clients and stakeholders to explain various models and AI products You will mentor/ manage junior data scientists in the growing team, with the opportunity to progress quickly to leadership YOUR SKILLS AND EXPERIENCE: The successful Data Science Engineer will have the following skills and experience: Educated to MSc/ PhD level in a STEM degree focused in quantitative methods and statistics (Science, Technology, Engineering, Mathematics etc) Extensive applied commercial experience coding in Python Experience building and deploying ML models from scratch to production Excellent communication skills and a strong "go-getter" attitude THE BENEFITS: The successful Data Science Engineer will receive a salary, dependent on experience be up to £80,000. HOW TO APPLY: Please register your interest by sending your CV to Rosie O'Callaghan via the Apply link on this page.
Buy Side Junior Quant - Grad to 3 years' experience Key Skills: C/C++, Python My client is a hedge fund which is just leaving the start-up phase behind and looking to move forward and dominate the market. Currently focused in Equities but looking to move across to all electronically tradable asset classes over the next..... click apply for full job details
Feb 21, 2016
Buy Side Junior Quant - Grad to 3 years' experience Key Skills: C/C++, Python My client is a hedge fund which is just leaving the start-up phase behind and looking to move forward and dominate the market. Currently focused in Equities but looking to move across to all electronically tradable asset classes over the next..... click apply for full job details