The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. 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 Excellent 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. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They 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. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. 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 Excellent 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. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They 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. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Summary One of the world's most prestigious hedge funds is looking for an experienced and energetic backend engineer to join a brand-new team pioneering sophisticated technology and innovative investment strategies for their top-performing Portfolio Managers. An involved and very hands-on role, you will help to build a Python-based platform to integrate datasets, analytics/pricing systems and tech platforms across the firm. You'll also be part of an elite group deploying the platform to PMs; building & maintaining robust, high-performance APIs and services to support them in trading, risk management, tech analysis & research. Successful candidates will likely have front-office experience in a similar role working with PMs, where you have demonstrated that you can adapt to steep learning curves and communicate well with both the business and technology. Requirements 7+ years' experience, including 4+ years of Python Solid experience building a product and rapidly iterating according to user feedback Good eye for API design, focused on scalability and reliability Familiarity with equity and/or fixed income products (in particular pricing/analytics) Nice to Have Front-office hedge fund experience Use of data-driven approaches Rewards & Incentives Strong salary + bonuses Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge alongside top-tier engineers Contact If you feel you are suitable for this role, or would like more information, drop me an email: Jack Peck e t
May 01, 2024
Full time
Summary One of the world's most prestigious hedge funds is looking for an experienced and energetic backend engineer to join a brand-new team pioneering sophisticated technology and innovative investment strategies for their top-performing Portfolio Managers. An involved and very hands-on role, you will help to build a Python-based platform to integrate datasets, analytics/pricing systems and tech platforms across the firm. You'll also be part of an elite group deploying the platform to PMs; building & maintaining robust, high-performance APIs and services to support them in trading, risk management, tech analysis & research. Successful candidates will likely have front-office experience in a similar role working with PMs, where you have demonstrated that you can adapt to steep learning curves and communicate well with both the business and technology. Requirements 7+ years' experience, including 4+ years of Python Solid experience building a product and rapidly iterating according to user feedback Good eye for API design, focused on scalability and reliability Familiarity with equity and/or fixed income products (in particular pricing/analytics) Nice to Have Front-office hedge fund experience Use of data-driven approaches Rewards & Incentives Strong salary + bonuses Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge alongside top-tier engineers Contact If you feel you are suitable for this role, or would like more information, drop me an email: Jack Peck e t
Salary: up to £160k base, £250k TC Job description: One of the world's most prestigious hedge funds is looking for an experienced backend engineer to join a brand-new team pioneering sophisticated technology and innovative investment strategies for their top-performing Portfolio Managers. You will help to build a Python-based platform to integrate datasets, analytics/pricing systems and tech platforms across the firm. You'll also be part of an elite group deploying the platform to PMs, building & maintaining robust APIs and services to support them in trading, risk management, tech analysis & research. Successful candidates will likely have front-office experience in a similar role working with PMs, where you have demonstrated that you can adapt to steep learning curves and communicate well with both the business and technology. Skills and Experience Required 7+ years' experience, including 4+ years of Python Solid experience building a product and rapidly iterating according to user feedback Good eye for API design, focused on scalability and reliability Familiarity with equity and/or fixed income products (in particular pricing/analytics) Desirable Front-office hedge fund experience Use of data-driven approaches Benefits & Incentives Strong salary + bonuses Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge alongside top-tier engineers Contact If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, then please send your CV or get in touch: Richard Allan
May 01, 2024
Full time
Salary: up to £160k base, £250k TC Job description: One of the world's most prestigious hedge funds is looking for an experienced backend engineer to join a brand-new team pioneering sophisticated technology and innovative investment strategies for their top-performing Portfolio Managers. You will help to build a Python-based platform to integrate datasets, analytics/pricing systems and tech platforms across the firm. You'll also be part of an elite group deploying the platform to PMs, building & maintaining robust APIs and services to support them in trading, risk management, tech analysis & research. Successful candidates will likely have front-office experience in a similar role working with PMs, where you have demonstrated that you can adapt to steep learning curves and communicate well with both the business and technology. Skills and Experience Required 7+ years' experience, including 4+ years of Python Solid experience building a product and rapidly iterating according to user feedback Good eye for API design, focused on scalability and reliability Familiarity with equity and/or fixed income products (in particular pricing/analytics) Desirable Front-office hedge fund experience Use of data-driven approaches Benefits & Incentives Strong salary + bonuses Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge alongside top-tier engineers Contact If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, then please send your CV or get in touch: Richard Allan
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.
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL 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 believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. 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 light cubes and 3D printers, guitars, ping-pong and table-football, 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 At AHL 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, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow 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 Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views 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 Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL 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 believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. 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 light cubes and 3D printers, guitars, ping-pong and table-football, 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 At AHL 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, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow 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 Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views 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.
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The T Rowe Price Investment Risk technology team is looking for a hands-on Engineering Manager or a Lead Level Software Engineer capable of managing a small team. The accomplished hire will be equally responsible for writing code, managing a small team, performing business analysis and keeping great project and agile hygiene. We want this person to have influence over their direct reports, we absolutely do not want someone who is dictatorial. We want someone who is comfortable enough to give team members their own voice, decision making, and ability to contribute equally as a true team. If you feel uncomfortable with loads of opinions that contradict your own, this position is not for you. Additionally, the landscape of Investment Risk comes with a wealth of nuance, legacy applications, and great aspirations. While you will be responsible for the output of your team, you will also get direction and guidelines from senior leaders. We want someone who accepts this direction as a positive, and will genuinely seek to understand strategy, being humble with their direct reports and stakeholders throughout. We want a technologist who is able to write a unit test while coding, query an API on the side to get an idea of the analytics you're dealing with, pull up your sleeves and follow a legacy SQL query to understand the thinking in a portfolio setup, be unafraid to check the logs while doing that, and use all of that to come up with elegant code, taking the complexity in your stride? That's what we're looking for. We want someone not just aware of, but completely at ease with SOLID/TDD principles to help modernize a legacy stack into AWS. But more than that, we want our engineers to understand risk and portfolio data in such a way that you take on ownership of the components you ship. Our team is building a suite of next-generation n-tier, native cloud-enabled applications, fronted by a product named riskFolio. You will be leading an Agile team of smart, hardworking people whose mission is to develop new capabilities using modern cloud technologies used by our Risk Analysts, Portfolio Managers, and Quants. This is a hands-on leadership role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. We encourage you to apply! Role summary and job responsibilities Manages a development team to deliver projects which achieve target outcomes. Demonstrates exceptional leadership and hands-on capability to drive components to delivery. Enables engineers to design and develop architecture solutions to business problems in alignment with the enterprise architecture direction and standards. Apply people management skills to coach, mentor and develop engineers on the team Assume ownership over the quality, TCO, maintainability and security of the solutions built by our team. Provide timely feedback and coaching to individuals and teams using data to reinforce learning. Overcome differences of opinion and drive team alignment around a specific goal or solution Own technical debt across their development team. Software Lifecycle Leadership Able to give quality feedback on designs written by other members of my team, asking probing, insightful questions that solidify choices and surface erroneous assumptions. Encourage ways to simplify systems. Look for opportunities that will lead to lower maintenance and costs with meaningful and measurable impact. Preemptively identify technical risks before they jeopardize the project. Resolve cross-team dependencies earlier to ensure the successful execution of the project. Discourage re-inventing the wheel by leveraging other T Rowe Front Office Technology or off-the-shelf solutions with the possible trade-offs in mind. Requirements Experienced in leading large software development projects in terms of team size, technical complexity and/or organizational complexity. At ease with implementing scrum ceremonies, especially in the face of day to day delivery pressures. Software engineering experience with data, microservices, frameworks, and platform development Coding experience and solid working knowledge of .Net and one or more additional programming languages such as .NET Core/C#, Typescript, Javascript, Python, Java, etc. 3+ years of business systems analysis or experience working with data and analyzing data preferred Experience designing and delivering frameworks focused on data pipelines, data catalogs, data distribution, and/or advanced analytics Proficient with a range of open-source frameworks and development tools - .Net Framework (Standard/ Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/ Unity, ReactJS/Modern UI frameworks etc. Exposure to some of the following concepts: object-oriented programming, quality assurance, parallel programming, databases, networking, etc. Understanding of ATDD, TDD, and test automation and desire to write simple, adaptive and iterative code. Highly desirable Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers. Familiarity with modern front-end frameworks such as React or similar Proven working knowledge of Risk analytics platforms (e.g MSCI, Bloomberg PORT, Barclay's POINT) and derivatives. Open source involvement such as a well-curated blog, accepted contribution, or community presence. Scrum Developer or Scrum Master certification. Experience in front office software development with an Asset Management, Hedge fund, or Investment Bank. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
May 01, 2024
Full time
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The T Rowe Price Investment Risk technology team is looking for a hands-on Engineering Manager or a Lead Level Software Engineer capable of managing a small team. The accomplished hire will be equally responsible for writing code, managing a small team, performing business analysis and keeping great project and agile hygiene. We want this person to have influence over their direct reports, we absolutely do not want someone who is dictatorial. We want someone who is comfortable enough to give team members their own voice, decision making, and ability to contribute equally as a true team. If you feel uncomfortable with loads of opinions that contradict your own, this position is not for you. Additionally, the landscape of Investment Risk comes with a wealth of nuance, legacy applications, and great aspirations. While you will be responsible for the output of your team, you will also get direction and guidelines from senior leaders. We want someone who accepts this direction as a positive, and will genuinely seek to understand strategy, being humble with their direct reports and stakeholders throughout. We want a technologist who is able to write a unit test while coding, query an API on the side to get an idea of the analytics you're dealing with, pull up your sleeves and follow a legacy SQL query to understand the thinking in a portfolio setup, be unafraid to check the logs while doing that, and use all of that to come up with elegant code, taking the complexity in your stride? That's what we're looking for. We want someone not just aware of, but completely at ease with SOLID/TDD principles to help modernize a legacy stack into AWS. But more than that, we want our engineers to understand risk and portfolio data in such a way that you take on ownership of the components you ship. Our team is building a suite of next-generation n-tier, native cloud-enabled applications, fronted by a product named riskFolio. You will be leading an Agile team of smart, hardworking people whose mission is to develop new capabilities using modern cloud technologies used by our Risk Analysts, Portfolio Managers, and Quants. This is a hands-on leadership role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. We encourage you to apply! Role summary and job responsibilities Manages a development team to deliver projects which achieve target outcomes. Demonstrates exceptional leadership and hands-on capability to drive components to delivery. Enables engineers to design and develop architecture solutions to business problems in alignment with the enterprise architecture direction and standards. Apply people management skills to coach, mentor and develop engineers on the team Assume ownership over the quality, TCO, maintainability and security of the solutions built by our team. Provide timely feedback and coaching to individuals and teams using data to reinforce learning. Overcome differences of opinion and drive team alignment around a specific goal or solution Own technical debt across their development team. Software Lifecycle Leadership Able to give quality feedback on designs written by other members of my team, asking probing, insightful questions that solidify choices and surface erroneous assumptions. Encourage ways to simplify systems. Look for opportunities that will lead to lower maintenance and costs with meaningful and measurable impact. Preemptively identify technical risks before they jeopardize the project. Resolve cross-team dependencies earlier to ensure the successful execution of the project. Discourage re-inventing the wheel by leveraging other T Rowe Front Office Technology or off-the-shelf solutions with the possible trade-offs in mind. Requirements Experienced in leading large software development projects in terms of team size, technical complexity and/or organizational complexity. At ease with implementing scrum ceremonies, especially in the face of day to day delivery pressures. Software engineering experience with data, microservices, frameworks, and platform development Coding experience and solid working knowledge of .Net and one or more additional programming languages such as .NET Core/C#, Typescript, Javascript, Python, Java, etc. 3+ years of business systems analysis or experience working with data and analyzing data preferred Experience designing and delivering frameworks focused on data pipelines, data catalogs, data distribution, and/or advanced analytics Proficient with a range of open-source frameworks and development tools - .Net Framework (Standard/ Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/ Unity, ReactJS/Modern UI frameworks etc. Exposure to some of the following concepts: object-oriented programming, quality assurance, parallel programming, databases, networking, etc. Understanding of ATDD, TDD, and test automation and desire to write simple, adaptive and iterative code. Highly desirable Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers. Familiarity with modern front-end frameworks such as React or similar Proven working knowledge of Risk analytics platforms (e.g MSCI, Bloomberg PORT, Barclay's POINT) and derivatives. Open source involvement such as a well-curated blog, accepted contribution, or community presence. Scrum Developer or Scrum Master certification. Experience in front office software development with an Asset Management, Hedge fund, or Investment Bank. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The T Rowe Price Investment Risk technology team is looking for a hands-on Engineering Manager or a Lead Level Software Engineer capable of managing a small team. The accomplished hire will be equally responsible for writing code, managing a small team, performing business analysis and keeping great project and agile hygiene. We want this person to have influence over their direct reports, we absolutely do not want someone who is dictatorial. We want someone who is comfortable enough to give team members their own voice, decision making, and ability to contribute equally as a true team. If you feel uncomfortable with loads of opinions that contradict your own, this position is not for you. Additionally, the landscape of Investment Risk comes with a wealth of nuance, legacy applications, and great aspirations. While you will be responsible for the output of your team, you will also get direction and guidelines from senior leaders. We want someone who accepts this direction as a positive, and will genuinely seek to understand strategy, being humble with their direct reports and stakeholders throughout. We want a technologist who is able to write a unit test while coding, query an API on the side to get an idea of the analytics you're dealing with, pull up your sleeves and follow a legacy SQL query to understand the thinking in a portfolio setup, be unafraid to check the logs while doing that, and use all of that to come up with elegant code, taking the complexity in your stride? That's what we're looking for. We want someone not just aware of, but completely at ease with SOLID/TDD principles to help modernize a legacy stack into AWS. But more than that, we want our engineers to understand risk and portfolio data in such a way that you take on ownership of the components you ship. Our team is building a suite of next-generation n-tier, native cloud-enabled applications, fronted by a product named riskFolio. You will be leading an Agile team of smart, hardworking people whose mission is to develop new capabilities using modern cloud technologies used by our Risk Analysts, Portfolio Managers, and Quants. This is a hands-on leadership role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. We encourage you to apply! Role summary and job responsibilities Manages a development team to deliver projects which achieve target outcomes. Demonstrates exceptional leadership and hands-on capability to drive components to delivery. Enables engineers to design and develop architecture solutions to business problems in alignment with the enterprise architecture direction and standards. Apply people management skills to coach, mentor and develop engineers on the team Assume ownership over the quality, TCO, maintainability and security of the solutions built by our team. Provide timely feedback and coaching to individuals and teams using data to reinforce learning. Overcome differences of opinion and drive team alignment around a specific goal or solution Own technical debt across their development team. Software Lifecycle Leadership Able to give quality feedback on designs written by other members of my team, asking probing, insightful questions that solidify choices and surface erroneous assumptions. Encourage ways to simplify systems. Look for opportunities that will lead to lower maintenance and costs with meaningful and measurable impact. Preemptively identify technical risks before they jeopardize the project. Resolve cross-team dependencies earlier to ensure the successful execution of the project. Discourage re-inventing the wheel by leveraging other T Rowe Front Office Technology or off-the-shelf solutions with the possible trade-offs in mind. Requirements Experienced in leading large software development projects in terms of team size, technical complexity and/or organizational complexity. At ease with implementing scrum ceremonies, especially in the face of day to day delivery pressures. Software engineering experience with data, microservices, frameworks, and platform development Coding experience and solid working knowledge of .Net and one or more additional programming languages such as .NET Core/C#, Typescript, Javascript, Python, Java, etc. 3+ years of business systems analysis or experience working with data and analyzing data preferred Experience designing and delivering frameworks focused on data pipelines, data catalogs, data distribution, and/or advanced analytics Proficient with a range of open-source frameworks and development tools - .Net Framework (Standard/ Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/ Unity, ReactJS/Modern UI frameworks etc. Exposure to some of the following concepts: object-oriented programming, quality assurance, parallel programming, databases, networking, etc. Understanding of ATDD, TDD, and test automation and desire to write simple, adaptive and iterative code. Highly desirable Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers. Familiarity with modern front-end frameworks such as React or similar Proven working knowledge of Risk analytics platforms (e.g MSCI, Bloomberg PORT, Barclay's POINT) and derivatives. Open source involvement such as a well-curated blog, accepted contribution, or community presence. Scrum Developer or Scrum Master certification. Experience in front office software development with an Asset Management, Hedge fund, or Investment Bank. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
May 01, 2024
Full time
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The T Rowe Price Investment Risk technology team is looking for a hands-on Engineering Manager or a Lead Level Software Engineer capable of managing a small team. The accomplished hire will be equally responsible for writing code, managing a small team, performing business analysis and keeping great project and agile hygiene. We want this person to have influence over their direct reports, we absolutely do not want someone who is dictatorial. We want someone who is comfortable enough to give team members their own voice, decision making, and ability to contribute equally as a true team. If you feel uncomfortable with loads of opinions that contradict your own, this position is not for you. Additionally, the landscape of Investment Risk comes with a wealth of nuance, legacy applications, and great aspirations. While you will be responsible for the output of your team, you will also get direction and guidelines from senior leaders. We want someone who accepts this direction as a positive, and will genuinely seek to understand strategy, being humble with their direct reports and stakeholders throughout. We want a technologist who is able to write a unit test while coding, query an API on the side to get an idea of the analytics you're dealing with, pull up your sleeves and follow a legacy SQL query to understand the thinking in a portfolio setup, be unafraid to check the logs while doing that, and use all of that to come up with elegant code, taking the complexity in your stride? That's what we're looking for. We want someone not just aware of, but completely at ease with SOLID/TDD principles to help modernize a legacy stack into AWS. But more than that, we want our engineers to understand risk and portfolio data in such a way that you take on ownership of the components you ship. Our team is building a suite of next-generation n-tier, native cloud-enabled applications, fronted by a product named riskFolio. You will be leading an Agile team of smart, hardworking people whose mission is to develop new capabilities using modern cloud technologies used by our Risk Analysts, Portfolio Managers, and Quants. This is a hands-on leadership role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. We encourage you to apply! Role summary and job responsibilities Manages a development team to deliver projects which achieve target outcomes. Demonstrates exceptional leadership and hands-on capability to drive components to delivery. Enables engineers to design and develop architecture solutions to business problems in alignment with the enterprise architecture direction and standards. Apply people management skills to coach, mentor and develop engineers on the team Assume ownership over the quality, TCO, maintainability and security of the solutions built by our team. Provide timely feedback and coaching to individuals and teams using data to reinforce learning. Overcome differences of opinion and drive team alignment around a specific goal or solution Own technical debt across their development team. Software Lifecycle Leadership Able to give quality feedback on designs written by other members of my team, asking probing, insightful questions that solidify choices and surface erroneous assumptions. Encourage ways to simplify systems. Look for opportunities that will lead to lower maintenance and costs with meaningful and measurable impact. Preemptively identify technical risks before they jeopardize the project. Resolve cross-team dependencies earlier to ensure the successful execution of the project. Discourage re-inventing the wheel by leveraging other T Rowe Front Office Technology or off-the-shelf solutions with the possible trade-offs in mind. Requirements Experienced in leading large software development projects in terms of team size, technical complexity and/or organizational complexity. At ease with implementing scrum ceremonies, especially in the face of day to day delivery pressures. Software engineering experience with data, microservices, frameworks, and platform development Coding experience and solid working knowledge of .Net and one or more additional programming languages such as .NET Core/C#, Typescript, Javascript, Python, Java, etc. 3+ years of business systems analysis or experience working with data and analyzing data preferred Experience designing and delivering frameworks focused on data pipelines, data catalogs, data distribution, and/or advanced analytics Proficient with a range of open-source frameworks and development tools - .Net Framework (Standard/ Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/ Unity, ReactJS/Modern UI frameworks etc. Exposure to some of the following concepts: object-oriented programming, quality assurance, parallel programming, databases, networking, etc. Understanding of ATDD, TDD, and test automation and desire to write simple, adaptive and iterative code. Highly desirable Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers. Familiarity with modern front-end frameworks such as React or similar Proven working knowledge of Risk analytics platforms (e.g MSCI, Bloomberg PORT, Barclay's POINT) and derivatives. Open source involvement such as a well-curated blog, accepted contribution, or community presence. Scrum Developer or Scrum Master certification. Experience in front office software development with an Asset Management, Hedge fund, or Investment Bank. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
Senior Software Engineer, FTA UK page is loaded Senior Software Engineer, FTA UK Apply locations London, Warwick Court time type Full time posted on Posted 3 Days Ago job requisition id 69670 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premierassetmanagerfocused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T Rowe Price Fixed Income Front Office technology team is looking for an accomplished Senior Software Engineer/Developer in building a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. More specifically, this role is within the Fixed Income and Data & Analytics Engineering team who sit at a strategic point within Front Office Technology, providing core data services to the Portfolio Management tools that are pivotal to the success of T Rowe Price. The team hire and develop talented Software Engineers, working in Python and JavaScript, to build robust and scalable software hosted in AWS. They are looking for experienced Software Engineers to join the global team, with either Python experience or strong experience in one or more OO languages, to work on transformational projects that will help grow the Fixed Income business. Knowledge of the financial domain is nice to have however for candidates with a strong desire to learn the team will provide support via their experienced Engineers and Business Analysts. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach; working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Role Responsibilities Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law. Similar Jobs (5) Senior Software Engineer, Python - ESG locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software/DevOps Engineer (fixed term for 12 months) locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software Engineer locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.
Apr 30, 2024
Full time
Senior Software Engineer, FTA UK page is loaded Senior Software Engineer, FTA UK Apply locations London, Warwick Court time type Full time posted on Posted 3 Days Ago job requisition id 69670 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premierassetmanagerfocused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T Rowe Price Fixed Income Front Office technology team is looking for an accomplished Senior Software Engineer/Developer in building a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. More specifically, this role is within the Fixed Income and Data & Analytics Engineering team who sit at a strategic point within Front Office Technology, providing core data services to the Portfolio Management tools that are pivotal to the success of T Rowe Price. The team hire and develop talented Software Engineers, working in Python and JavaScript, to build robust and scalable software hosted in AWS. They are looking for experienced Software Engineers to join the global team, with either Python experience or strong experience in one or more OO languages, to work on transformational projects that will help grow the Fixed Income business. Knowledge of the financial domain is nice to have however for candidates with a strong desire to learn the team will provide support via their experienced Engineers and Business Analysts. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach; working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Role Responsibilities Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law. Similar Jobs (5) Senior Software Engineer, Python - ESG locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software/DevOps Engineer (fixed term for 12 months) locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software Engineer locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.