Engineering Delivery Lead (AWS/Snowflake/Python/Scala) - UK based - 6 Month contract + extensions - £450-550/day + negotiable Our client are looking for 2 Engineering Delivery Leads for workstreams on Platform Builds. The suitable individual needs to have an understanding of Datamodelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS - S3, Glue, EMR, Athena, Lambda - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a 6 month initial contract with a trusted client of ours. CVs are being presented on Friday and interviews will be scheduled for Monday onwards. Reach out and send your CV to (see below) ASAP to start the process!
May 01, 2024
Contractor
Engineering Delivery Lead (AWS/Snowflake/Python/Scala) - UK based - 6 Month contract + extensions - £450-550/day + negotiable Our client are looking for 2 Engineering Delivery Leads for workstreams on Platform Builds. The suitable individual needs to have an understanding of Datamodelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS - S3, Glue, EMR, Athena, Lambda - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a 6 month initial contract with a trusted client of ours. CVs are being presented on Friday and interviews will be scheduled for Monday onwards. Reach out and send your CV to (see below) ASAP to start the process!
Lead Data Modeler - AWS - Contract - Inside IR35 One of Orbis's clients is looking for a Lead/Senior Data Modeler on a 6 month initial contract. Urgent start. You will be working through an award winning consultancy. High Level Experience needed: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Experience with data pipeline orchestration tools like Apache Airflow . Understanding of Datamodelling Principles and best practices. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio for building data pipelines and ETL processes. Contract details: Must have the right to work in the UK 6 month rolling contract £400 - £500 p/day Inside IR35 DoE. ASAP start Lead Data Modeler - AWS - Contract - Inside IR35
May 01, 2024
Contractor
Lead Data Modeler - AWS - Contract - Inside IR35 One of Orbis's clients is looking for a Lead/Senior Data Modeler on a 6 month initial contract. Urgent start. You will be working through an award winning consultancy. High Level Experience needed: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Experience with data pipeline orchestration tools like Apache Airflow . Understanding of Datamodelling Principles and best practices. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio for building data pipelines and ETL processes. Contract details: Must have the right to work in the UK 6 month rolling contract £400 - £500 p/day Inside IR35 DoE. ASAP start Lead Data Modeler - AWS - Contract - Inside IR35
Company Description NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Job Description As part of the global Operations & Technology organisation, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU's vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions. ABOUT THE ROLE: The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who's looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas - research, marketing, engineering frameworks - the Staff Data Engineer role is right for you if you're a subject matter expert in designing data integration frameworks, pipelines and still love to jump in and be "hands-on" when needed. In the Staff Data Engineer role, you'll be working with internal stakeholders, data engineers, visualisation experts, data scientists, and other technologists across the businesses. This position requires a passionate data engineering expert who has a strong technical background and a passion for leading a team to success - If you're someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you've come to the right place. Here you can create the extraordinary. Join us. Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Implement appropriate design patterns while optimising performance, cost, security, and scale and end user experience. Collaborate with business leaders, engineers, and product managers to understand data needs. Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. Become a subject matter expert for data engineering related technologies and designs. Coach and guide others within the D&A organization to build scalable pipelines based on foundational data engineering principles. Participate in development sprints, demos, and retrospectives, alongside releases and deployment. Build and manage relationships with supporting IT teams in order to effectively deliver work products to production. Qualifications REQUIREMENTS: 7+ years of experience in a data engineering role, leading data engineering teams is a plus. Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts. Knowledge of cloud technologies such as AWS, Azure, GCP. Knowledge of data management fundamentals and data storage principles. Experience in building data pipelines using Python/SQL or similar programming languages. Demonstrable experience in Airflow, Luigi or similar orchestration engines. General understanding of cloud data engineering design patterns and use cases. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field. PREFERRED QUALIFICATIONS: Analytical - You have experience in delivering self-service analytics solutions that promote data discovery Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus. Understanding of big data technology stacks (Hive / Spark etc) is a plus. Experience moving on prem technologies to the cloud is a plus. Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile (specific experience with TV Distribution a plus). Communicator - You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical. Action-oriented - You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust Strong understanding of Agile principles and best practices. You've dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by emailing .
May 01, 2024
Full time
Company Description NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Job Description As part of the global Operations & Technology organisation, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU's vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions. ABOUT THE ROLE: The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who's looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas - research, marketing, engineering frameworks - the Staff Data Engineer role is right for you if you're a subject matter expert in designing data integration frameworks, pipelines and still love to jump in and be "hands-on" when needed. In the Staff Data Engineer role, you'll be working with internal stakeholders, data engineers, visualisation experts, data scientists, and other technologists across the businesses. This position requires a passionate data engineering expert who has a strong technical background and a passion for leading a team to success - If you're someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you've come to the right place. Here you can create the extraordinary. Join us. Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Implement appropriate design patterns while optimising performance, cost, security, and scale and end user experience. Collaborate with business leaders, engineers, and product managers to understand data needs. Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. Become a subject matter expert for data engineering related technologies and designs. Coach and guide others within the D&A organization to build scalable pipelines based on foundational data engineering principles. Participate in development sprints, demos, and retrospectives, alongside releases and deployment. Build and manage relationships with supporting IT teams in order to effectively deliver work products to production. Qualifications REQUIREMENTS: 7+ years of experience in a data engineering role, leading data engineering teams is a plus. Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts. Knowledge of cloud technologies such as AWS, Azure, GCP. Knowledge of data management fundamentals and data storage principles. Experience in building data pipelines using Python/SQL or similar programming languages. Demonstrable experience in Airflow, Luigi or similar orchestration engines. General understanding of cloud data engineering design patterns and use cases. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field. PREFERRED QUALIFICATIONS: Analytical - You have experience in delivering self-service analytics solutions that promote data discovery Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus. Understanding of big data technology stacks (Hive / Spark etc) is a plus. Experience moving on prem technologies to the cloud is a plus. Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile (specific experience with TV Distribution a plus). Communicator - You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical. Action-oriented - You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust Strong understanding of Agile principles and best practices. You've dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by emailing .
ABOUT BBC STUDIOS BBC Studios is the commercial arm of the BBC Group and is a thriving and exciting business. We invest in and produce amazing content and millions of users across the world interact with our products every week. We have a proven track record of growth and are ambitious for the future. As we grow, we are actively transforming our culture, investing in our employees and our ways of working, to build a bold, agile, inventive and inclusive business. At the forefront of this transformation, we are building a brand new data platform for BBC Studios that will help unlock our ability to provide more personalised experiences for our customers and audiences and enable us to understand them better. Investment in data is crucial to our ambitions of making BBC Studios an area of growth for the BBC. Our Team We are looking for a talented Data Engineer to join our multi-disciplinary data platform team at BBC Studios. We are looking for people that have a passion for data engineering, are keen problem solvers and are energised by the opportunity to work on a brand-new key initiative. Are you looking for a role that builds on your experience with engineering data systems? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. THE ROLE The core of the role is building and maintaining core data pipelines for ingesting, processing and summarisation of data. Using automation as a default, and delivering high-quality code to define pipelines and transformations. As a data engineer, you will have the opportunity to assist with the data platform blueprint and design, evaluating workflows and tools for the platform, supported by senior engineers and engineering leaders. Maintaining security on the platform is very important to ensure that we protect the data we hold about our audience and ensure it is used in line with our data governance policies. This role gives you the opportunity to suggest solutions and infrastructure to be created with appropriate levels of security and encryption. Experience in data privacy engineering and techniques and anonymisation, data masking and obfuscation and others is highly desirable. The data platform is a brand-new capability built using modern tools and components. We want to keep developing the platform and ensure we are keeping the platform up-to-date, so awareness of emerging database technologies and their potential impact on our data platform as well as staying up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling are key responsibilities. WHAT DOES IT TAKE? You will be a passionate engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. You will be a key member of our data platform engineering team, developing high-performing, scalable, high-impact data products and services. We are looking for a person who is motivated by delivering high-quality solutions, driven to develop in their careers, and is a strong communicator. You will be supported by your team and leaders to deliver value with an eye on quality, scale, and security. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: Technical Skills Knowledge of Big Data pipelines and processing technologies and experience in data processing and building data pipelines. Knowledge of database design, performance optimisation, and troubleshooting. Enthusiasm for writing clean, well-documented, and testable code and experience with software testing practices including unit testing frameworks where relevant. A security-first mindset - a good understanding of security and compliance principles as they relate to data infrastructures and the management of data. Goal-oriented - you'll enjoy finishing the job by developing the final details. Strong problem-solving skills and experience with troubleshooting and root cause analysis. A willingness to deliver user value early while balancing technical quality - having an iterative deliverable mindset. Communication Good communication skills - a great candidate will be able to communicate with other engineers and non-technical stakeholders, tailoring the message appropriately to the audience. The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be. Curiosity and an openness to change - we're always learning new technologies and requirements often change. If that energises you, you'll enjoy this challenge! Technologies Experience with SQL, DBT and familiarity with Data Warehousing technologies (ideally Snowflake). Experience using general-purpose programming languages (typically we use Python and NodeJS for application services, but you should feel empowered to flex to what suits the job most effectively). Experience of building components on the cloud (preferably AWS). Experience of containerisation techniques using tools like Docker/Kubernetes. We are infrastructure as code first in our approaches - so experience with infrastructure/configuration as code tools and techniques (such as Terraform and CloudFormation). Familiarity with CI/CD pipelines for code validation and deployment. Experience of data pipeline orchestration e.g. Airflow or Jenkins. PACKAGE DESCRIPTION Job Reference: 11827 Band: D Salary: Up to £49,230 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract Type: Permanent Location: London - Television Centre Working Pattern: Hybrid Working (Mix of working from home plus two/three days a week in the office). We are really proud to share that we are a Level 2 Disability Confident Employer and so if you require any reasonable adjustments in order to apply please do contact us at with the job reference in the subject. We offer flexibility, competitive benefits and the opportunity to be part of the BBC's exciting mission. Some of the key benefits you'll get from working in this role are: Flexible/Agile working - opportunities across the business. We believe in empowering you to do your best work, so we offer support and flexibility to balance work and home. We're happy to discuss a formal flexible working pattern. 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 the offer stage. Unrivalled training and development opportunities - we operate a people-first culture and pride ourselves on your development. Our in-house Academy hosts a wide range of internal and external courses and certifications. Excellent career progression - BBC Studios offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Leaders at the BBC are passionate about helping our people grow in the organisation and you will have regular sessions with your line manager to support you with your career ambitions. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (plus an additional day 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. LIFE AT BBC STUDIOS 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 here. The BBC is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background. More information on our D&I plan can be found here. BBC Studios puts sustainability at the heart of everything we do both onscreen and offscreen, including delivering against the BBC Group's science-based Net Zero targets. More information on sustainability at BBC Studios can be found here.
May 01, 2024
Full time
ABOUT BBC STUDIOS BBC Studios is the commercial arm of the BBC Group and is a thriving and exciting business. We invest in and produce amazing content and millions of users across the world interact with our products every week. We have a proven track record of growth and are ambitious for the future. As we grow, we are actively transforming our culture, investing in our employees and our ways of working, to build a bold, agile, inventive and inclusive business. At the forefront of this transformation, we are building a brand new data platform for BBC Studios that will help unlock our ability to provide more personalised experiences for our customers and audiences and enable us to understand them better. Investment in data is crucial to our ambitions of making BBC Studios an area of growth for the BBC. Our Team We are looking for a talented Data Engineer to join our multi-disciplinary data platform team at BBC Studios. We are looking for people that have a passion for data engineering, are keen problem solvers and are energised by the opportunity to work on a brand-new key initiative. Are you looking for a role that builds on your experience with engineering data systems? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. THE ROLE The core of the role is building and maintaining core data pipelines for ingesting, processing and summarisation of data. Using automation as a default, and delivering high-quality code to define pipelines and transformations. As a data engineer, you will have the opportunity to assist with the data platform blueprint and design, evaluating workflows and tools for the platform, supported by senior engineers and engineering leaders. Maintaining security on the platform is very important to ensure that we protect the data we hold about our audience and ensure it is used in line with our data governance policies. This role gives you the opportunity to suggest solutions and infrastructure to be created with appropriate levels of security and encryption. Experience in data privacy engineering and techniques and anonymisation, data masking and obfuscation and others is highly desirable. The data platform is a brand-new capability built using modern tools and components. We want to keep developing the platform and ensure we are keeping the platform up-to-date, so awareness of emerging database technologies and their potential impact on our data platform as well as staying up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling are key responsibilities. WHAT DOES IT TAKE? You will be a passionate engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. You will be a key member of our data platform engineering team, developing high-performing, scalable, high-impact data products and services. We are looking for a person who is motivated by delivering high-quality solutions, driven to develop in their careers, and is a strong communicator. You will be supported by your team and leaders to deliver value with an eye on quality, scale, and security. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: Technical Skills Knowledge of Big Data pipelines and processing technologies and experience in data processing and building data pipelines. Knowledge of database design, performance optimisation, and troubleshooting. Enthusiasm for writing clean, well-documented, and testable code and experience with software testing practices including unit testing frameworks where relevant. A security-first mindset - a good understanding of security and compliance principles as they relate to data infrastructures and the management of data. Goal-oriented - you'll enjoy finishing the job by developing the final details. Strong problem-solving skills and experience with troubleshooting and root cause analysis. A willingness to deliver user value early while balancing technical quality - having an iterative deliverable mindset. Communication Good communication skills - a great candidate will be able to communicate with other engineers and non-technical stakeholders, tailoring the message appropriately to the audience. The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be. Curiosity and an openness to change - we're always learning new technologies and requirements often change. If that energises you, you'll enjoy this challenge! Technologies Experience with SQL, DBT and familiarity with Data Warehousing technologies (ideally Snowflake). Experience using general-purpose programming languages (typically we use Python and NodeJS for application services, but you should feel empowered to flex to what suits the job most effectively). Experience of building components on the cloud (preferably AWS). Experience of containerisation techniques using tools like Docker/Kubernetes. We are infrastructure as code first in our approaches - so experience with infrastructure/configuration as code tools and techniques (such as Terraform and CloudFormation). Familiarity with CI/CD pipelines for code validation and deployment. Experience of data pipeline orchestration e.g. Airflow or Jenkins. PACKAGE DESCRIPTION Job Reference: 11827 Band: D Salary: Up to £49,230 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract Type: Permanent Location: London - Television Centre Working Pattern: Hybrid Working (Mix of working from home plus two/three days a week in the office). We are really proud to share that we are a Level 2 Disability Confident Employer and so if you require any reasonable adjustments in order to apply please do contact us at with the job reference in the subject. We offer flexibility, competitive benefits and the opportunity to be part of the BBC's exciting mission. Some of the key benefits you'll get from working in this role are: Flexible/Agile working - opportunities across the business. We believe in empowering you to do your best work, so we offer support and flexibility to balance work and home. We're happy to discuss a formal flexible working pattern. 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 the offer stage. Unrivalled training and development opportunities - we operate a people-first culture and pride ourselves on your development. Our in-house Academy hosts a wide range of internal and external courses and certifications. Excellent career progression - BBC Studios offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Leaders at the BBC are passionate about helping our people grow in the organisation and you will have regular sessions with your line manager to support you with your career ambitions. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (plus an additional day 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. LIFE AT BBC STUDIOS 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 here. The BBC is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background. More information on our D&I plan can be found here. BBC Studios puts sustainability at the heart of everything we do both onscreen and offscreen, including delivering against the BBC Group's science-based Net Zero targets. More information on sustainability at BBC Studios can be found here.
An experienced Data Scientist/ Market Analyst / Data Analyst required to support a market leader with Ad Platforms. The ideal candidate would have worked withing a similar role and have knowledge of Tableau Pyton SQL Adobe Snowflake Ideally have knowledge of data visualization, dashboards and reporting and experience of reporting on web analytics and Adobe, or other web analytics tool and ideally have worked or have knowledge of the digital advertising industry, the mobile app economy or related field Duties will include Support the Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals. Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders). Ensure operational excellence by maintaining and improving existing insights development and web reporting processes. Quantify the impact of marketing initiatives on customer success and future behaviour. Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behaviour. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis. Build dashboards, reports, and presentations. Collaborate with cross-functional team, including Marketing, Sales, Data Insights and Engineering. This is a 12mth Full time role Apply Immediately Kelly Services are acting as an Employment Business in relation to this role. Should you choose to apply, your information will be processed in accordance with Kelly's Privacy Statement. For information regarding data protection at Kelly, please visit the Kelly website and have a look into the Privacy Statement. As an Equal Opportunities employer we welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
May 01, 2024
Full time
An experienced Data Scientist/ Market Analyst / Data Analyst required to support a market leader with Ad Platforms. The ideal candidate would have worked withing a similar role and have knowledge of Tableau Pyton SQL Adobe Snowflake Ideally have knowledge of data visualization, dashboards and reporting and experience of reporting on web analytics and Adobe, or other web analytics tool and ideally have worked or have knowledge of the digital advertising industry, the mobile app economy or related field Duties will include Support the Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals. Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders). Ensure operational excellence by maintaining and improving existing insights development and web reporting processes. Quantify the impact of marketing initiatives on customer success and future behaviour. Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behaviour. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis. Build dashboards, reports, and presentations. Collaborate with cross-functional team, including Marketing, Sales, Data Insights and Engineering. This is a 12mth Full time role Apply Immediately Kelly Services are acting as an Employment Business in relation to this role. Should you choose to apply, your information will be processed in accordance with Kelly's Privacy Statement. For information regarding data protection at Kelly, please visit the Kelly website and have a look into the Privacy Statement. As an Equal Opportunities employer we welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Data Analytics Consultant (Contract) 6 Months June start Hybrid (Home-based with flexible travel requirements) 500 - 600 per day outside IR35 Our client is at the forefront of integrating Large Language Models (LLMs) and AI Agentic Reasoning into business operations. As they prepare for a phase of rapid growth, they are developing smart, context-aware systems that not only enhance operational efficiency but also foster significant innovation. As such, they are seeking a Data Analytics Consultant who is passionate about Data Modelling & Visualisation using Power BI and is ready to build and implement AI-powered solutions that make a tangible impact. Core Responsibilities: Actively design and develop data and AI-powered solutions, not just moving data, but transforming it into innovative solutions. Engage in all project phases from design to deployment, contributing technical skills and creative ideas. Play a crucial role in client interactions, explaining the technical benefits of solutions and building lasting strategic relationships. Assist in the development of new tools and methodologies Conduct training sessions to ensure clients are well-equipped to utilise and understand the AI solutions provided. Required Skills and Experience: Strong skills in Power BI, including proficiency in DAX for complex calculations. Experience with dimensional data modeling using techniques like Kimball for creating star and snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You will have significant development opportunities in a rapidly expanding company and will contribute to groundbreaking projects that drive. To be considered, please click apply now!
May 01, 2024
Contractor
Data Analytics Consultant (Contract) 6 Months June start Hybrid (Home-based with flexible travel requirements) 500 - 600 per day outside IR35 Our client is at the forefront of integrating Large Language Models (LLMs) and AI Agentic Reasoning into business operations. As they prepare for a phase of rapid growth, they are developing smart, context-aware systems that not only enhance operational efficiency but also foster significant innovation. As such, they are seeking a Data Analytics Consultant who is passionate about Data Modelling & Visualisation using Power BI and is ready to build and implement AI-powered solutions that make a tangible impact. Core Responsibilities: Actively design and develop data and AI-powered solutions, not just moving data, but transforming it into innovative solutions. Engage in all project phases from design to deployment, contributing technical skills and creative ideas. Play a crucial role in client interactions, explaining the technical benefits of solutions and building lasting strategic relationships. Assist in the development of new tools and methodologies Conduct training sessions to ensure clients are well-equipped to utilise and understand the AI solutions provided. Required Skills and Experience: Strong skills in Power BI, including proficiency in DAX for complex calculations. Experience with dimensional data modeling using techniques like Kimball for creating star and snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You will have significant development opportunities in a rapidly expanding company and will contribute to groundbreaking projects that drive. To be considered, please click apply now!
A Python Developer is required at a leading Software House in Buckinghamshire. You will join at an exciting time for the business as they go through a re-architecture of their main product and continue to work with leading businesses in the UK and beyond. The company are passionate about Visual Analytics and produce genuinely market leading software that enables business critical decisions. We are searching for a developer who wants to be involved in the world around them as well as writing great code, someone can input into the technological future and the bigger picture of how software is developed. As well as coming from a Python role, the role will also suit candidates with a Data Science or Data Engineer background. ROLE: Python Developer SALARY: £40,000 - £70,000 PACKAGE: 25 days holiday, Birthday Off, 4 day working week, Personal development days LOCATION: Buckinghamshire HQ / Remote Must have: Experience with Python and web technologies such as Django, Flask and API concepts. Experience working within a microservices environment. Experience with database technologies e.g. PostgreSQL Nice to have: Experience with any of the following: Docker, Kubernetes, Snowflakes, Celery, Pandas. Offering a great working environment and the chance to grow personally and professionally, this is a fantastic opportunity to join a business right at the top of their game. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
May 01, 2024
Full time
A Python Developer is required at a leading Software House in Buckinghamshire. You will join at an exciting time for the business as they go through a re-architecture of their main product and continue to work with leading businesses in the UK and beyond. The company are passionate about Visual Analytics and produce genuinely market leading software that enables business critical decisions. We are searching for a developer who wants to be involved in the world around them as well as writing great code, someone can input into the technological future and the bigger picture of how software is developed. As well as coming from a Python role, the role will also suit candidates with a Data Science or Data Engineer background. ROLE: Python Developer SALARY: £40,000 - £70,000 PACKAGE: 25 days holiday, Birthday Off, 4 day working week, Personal development days LOCATION: Buckinghamshire HQ / Remote Must have: Experience with Python and web technologies such as Django, Flask and API concepts. Experience working within a microservices environment. Experience with database technologies e.g. PostgreSQL Nice to have: Experience with any of the following: Docker, Kubernetes, Snowflakes, Celery, Pandas. Offering a great working environment and the chance to grow personally and professionally, this is a fantastic opportunity to join a business right at the top of their game. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
The Client One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment. The Role Looking for an experienced engineer to join the Data Engineering team. You'll collaborate with the Data Science team, delivering unique solutions to solve their big data challenges. You'll also design & implement strategies and tools to monitor & validate data quality for thousands of datasets in use across the firm. Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are constantly assessed, meaning you can shape the technology landscape and make an impact early on. Requirements Expert programming experience (ideally in Python) Understanding of the challenges of dealing with large datasets (structured and unstructured) Solid Linux platforms experience with various scripting languages Knowledge of modern practices for ETL, data engineering and stream processing Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle Nice to have Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka Previous experience of working with financial market data, especially tick data Experience with AWS Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
May 01, 2024
Full time
The Client One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment. The Role Looking for an experienced engineer to join the Data Engineering team. You'll collaborate with the Data Science team, delivering unique solutions to solve their big data challenges. You'll also design & implement strategies and tools to monitor & validate data quality for thousands of datasets in use across the firm. Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are constantly assessed, meaning you can shape the technology landscape and make an impact early on. Requirements Expert programming experience (ideally in Python) Understanding of the challenges of dealing with large datasets (structured and unstructured) Solid Linux platforms experience with various scripting languages Knowledge of modern practices for ETL, data engineering and stream processing Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle Nice to have Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka Previous experience of working with financial market data, especially tick data Experience with AWS Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. About Parameta Solutions Parameta Solutions, the data and analytics division of inter-broker dealer TP ICAP, is a leading global provider of OTC Market Data. From pre to post trade, their solutions help clients manage complex markets more effectively. In May 2022, the firm became an FCA authorized benchmark administrator. This license has allowed the company to take on administration of the nine TP ICAP interest rate swaps benchmarks that were previously administered by Moorgate Benchmarks. In April 2023, the firm was also approved as an ESMA authorised benchmark administrator, making it the first IDB to administer OTC benchmarks and indices across Europe AND the UK. Central to Parameta's purpose is partnering with clients to create true value. The team is focussed on helping clients navigate changing market conditions, not only by providing world-class proprietary data but also the analysis and insight that will fuel their strategies. Role Overview Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / e ntrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business. Role Responsibilities Build python apps to query, analyse and combine financial datasets using a variety of computational techniques Build dashboards to monitor and visualise application data Support and further development of existing applications Build quality control tools to ensure data quality across products Experience / Competences Essential Masters or PhD in data science/mathematics/engineering or a related field. Demonstrate experience in a Python Developer role Knowledge of SQL Experience working with large, complex data sets Demonstratable problem solving skills Experience with airflow, snowflake, docker, CI/CD Desired Practical hands-on industry experience working in a numerical/computational role Works well with data engineering, product and sales teams in cross team collaborations Experience with AWS/Azure/GCP cloud technologies Experience with GenAI/machine learning Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
May 01, 2024
Full time
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. About Parameta Solutions Parameta Solutions, the data and analytics division of inter-broker dealer TP ICAP, is a leading global provider of OTC Market Data. From pre to post trade, their solutions help clients manage complex markets more effectively. In May 2022, the firm became an FCA authorized benchmark administrator. This license has allowed the company to take on administration of the nine TP ICAP interest rate swaps benchmarks that were previously administered by Moorgate Benchmarks. In April 2023, the firm was also approved as an ESMA authorised benchmark administrator, making it the first IDB to administer OTC benchmarks and indices across Europe AND the UK. Central to Parameta's purpose is partnering with clients to create true value. The team is focussed on helping clients navigate changing market conditions, not only by providing world-class proprietary data but also the analysis and insight that will fuel their strategies. Role Overview Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / e ntrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business. Role Responsibilities Build python apps to query, analyse and combine financial datasets using a variety of computational techniques Build dashboards to monitor and visualise application data Support and further development of existing applications Build quality control tools to ensure data quality across products Experience / Competences Essential Masters or PhD in data science/mathematics/engineering or a related field. Demonstrate experience in a Python Developer role Knowledge of SQL Experience working with large, complex data sets Demonstratable problem solving skills Experience with airflow, snowflake, docker, CI/CD Desired Practical hands-on industry experience working in a numerical/computational role Works well with data engineering, product and sales teams in cross team collaborations Experience with AWS/Azure/GCP cloud technologies Experience with GenAI/machine learning Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
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 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. 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 SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 2-5 years of hands-on software development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores 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 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. 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 SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 2-5 years of hands-on software development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores 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
You will have deep experience in Snowflake and Amazon RDS, ideally within a financial markets environment, with a solid experience in ETIL pipeline design and development, data solutioning and modelling, and SQL/MSSQL server-based data design and manipulation. You should apply for this role if you are/have: Very strong Snowflake (table/schema design+deployment+Snowpipe) experience Strong AWS Cloud and related ETL experience (S3, Mountpoint, Lambda, RDS) Strong SQL And MS SQL Server experience Financial markets experience is preferred Degree educated or higher (engineering or related) from a leading academic institution This is a heavily office-based role, in London, at £600-650/day PAYE (c. £750 umbrella)
May 01, 2024
Full time
You will have deep experience in Snowflake and Amazon RDS, ideally within a financial markets environment, with a solid experience in ETIL pipeline design and development, data solutioning and modelling, and SQL/MSSQL server-based data design and manipulation. You should apply for this role if you are/have: Very strong Snowflake (table/schema design+deployment+Snowpipe) experience Strong AWS Cloud and related ETL experience (S3, Mountpoint, Lambda, RDS) Strong SQL And MS SQL Server experience Financial markets experience is preferred Degree educated or higher (engineering or related) from a leading academic institution This is a heavily office-based role, in London, at £600-650/day PAYE (c. £750 umbrella)
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 SwapClear Reporting Development team based in London is looking for a dedicated individual who would like to join a team of software engineers working in a business critical service. The reporting solution for SwapClear provides our Members and Clients with essential business information. Our reports have to be produced timely and to the highest standards of the London Clear House (part of the LSE Group). The successful candidate must have a Computer Science orientated degree and be proficient in data modelling, data warehousing and have an aptitude for logical design and thinking. The role will require excellent ETL/ELT skills, good working knowledge of Oracle, Linux and Python. Candidates will be expected to follow SDLC principles in an agile delivery framework. Individuals should be mindful of company standards in development, testing and code management. They will collaborate closely and coordinate with business users and other technology areas so good social skills are essential. Main responsibilities • Analysis, design and development of tasks given • Timely delivery of developments to a high standard and quality • Supporting UAT & Production • Effectively follow the development practices • Providing development life cycle documentation at all stages of systems life cycle. i.e. requirement, solution, design, implementation • Providing documentation to support to Production. • Communicate effectively with Senior Development Managers and collaborators Characteristics • Equally comfortable working in teams and autonomously • Good communication and Interpersonal skills along with a tolerant demeanour • Hard working, willing to put in extra hours and effort when the project requires Future opportunities will open up as the project migrate from an on premise estate to an on-cloud base solution involving Snowflake, AWS. There are plenty of training opportunities and skill development is actively encouraged. You will develop full stack development skills including dev-ops, CI/CD. The role comes will all the excellent benefits and opportunities that LSEG has to offer. 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
The SwapClear Reporting Development team based in London is looking for a dedicated individual who would like to join a team of software engineers working in a business critical service. The reporting solution for SwapClear provides our Members and Clients with essential business information. Our reports have to be produced timely and to the highest standards of the London Clear House (part of the LSE Group). The successful candidate must have a Computer Science orientated degree and be proficient in data modelling, data warehousing and have an aptitude for logical design and thinking. The role will require excellent ETL/ELT skills, good working knowledge of Oracle, Linux and Python. Candidates will be expected to follow SDLC principles in an agile delivery framework. Individuals should be mindful of company standards in development, testing and code management. They will collaborate closely and coordinate with business users and other technology areas so good social skills are essential. Main responsibilities • Analysis, design and development of tasks given • Timely delivery of developments to a high standard and quality • Supporting UAT & Production • Effectively follow the development practices • Providing development life cycle documentation at all stages of systems life cycle. i.e. requirement, solution, design, implementation • Providing documentation to support to Production. • Communicate effectively with Senior Development Managers and collaborators Characteristics • Equally comfortable working in teams and autonomously • Good communication and Interpersonal skills along with a tolerant demeanour • Hard working, willing to put in extra hours and effort when the project requires Future opportunities will open up as the project migrate from an on premise estate to an on-cloud base solution involving Snowflake, AWS. There are plenty of training opportunities and skill development is actively encouraged. You will develop full stack development skills including dev-ops, CI/CD. The role comes will all the excellent benefits and opportunities that LSEG has to offer. 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.
As part of the Product/Risk line within Postrade LCH ltd RepoClear/EquityClear/CaLM/Product and UV, the role is accountable for: Project contribution to end-to-end solution (front-end, back-end, middleware) across all Risk quant libraries/applications Participation in sprints, estimating the costs and finding optimal solutions during the development cycle Designing and Building Prove both Concept solutions and production libraries/systems in the Risk and Product space Automating CD/CI Risk framework Testing Risk algorithms along all for the Model to Production cycles Implementing margin/risk algorithms (Pricing models, risk models and parameter calibration) in a standard consistent with EMIR regulation and LCH internal policies Writing Business requirement, governance documents, support guides Developing and implementing quantitative solutions Prototyping and testing (UAT) Sound numeric knowledge is essential in both meeting the risk standards of the company and making the service appealing from a trading perspective. Key Responsibilities Sound quantitative skills in Risk/Clearing/Models Design and development of the backend/frontend engine for Risk/Quant/Product IT Support quant analysts in the modelling cycle Experience in building and automating CD/CI frameworks in Cloud (AWS) Full cycle of testing from the theoretical model to production Implementation of Market Data and Risk related projects Gathering of business requirements and agreeing between IT, App Support teams, businesses teams in Repoclear/Securities. Prototyping and developing risk IT libraries/tools addressing various types of risk and financial products Analysis and implementation of algorithmic performance improvements to the existing solutions Candidate Profile / Key Skills 3+ years of experience in the risk/quant development Strong programming skills (Java 8-19/Kotlin/React JS/Hibernate/Postgres/Snowflake) AWS/Gitlab/Git/Maven R/python is a plus REST/Linux / BASH Degree in math/computer science-related disciplines. Financial/Business risk understanding and modelling experience. Experience in delivering production Risk IT solutions from the design to production Sound conceptual / technical knowledge of modern IT infrastructure stack Autonomy, problem solving skills Effective communication skills (written and oral). Ability to work with team delivery environment. 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
As part of the Product/Risk line within Postrade LCH ltd RepoClear/EquityClear/CaLM/Product and UV, the role is accountable for: Project contribution to end-to-end solution (front-end, back-end, middleware) across all Risk quant libraries/applications Participation in sprints, estimating the costs and finding optimal solutions during the development cycle Designing and Building Prove both Concept solutions and production libraries/systems in the Risk and Product space Automating CD/CI Risk framework Testing Risk algorithms along all for the Model to Production cycles Implementing margin/risk algorithms (Pricing models, risk models and parameter calibration) in a standard consistent with EMIR regulation and LCH internal policies Writing Business requirement, governance documents, support guides Developing and implementing quantitative solutions Prototyping and testing (UAT) Sound numeric knowledge is essential in both meeting the risk standards of the company and making the service appealing from a trading perspective. Key Responsibilities Sound quantitative skills in Risk/Clearing/Models Design and development of the backend/frontend engine for Risk/Quant/Product IT Support quant analysts in the modelling cycle Experience in building and automating CD/CI frameworks in Cloud (AWS) Full cycle of testing from the theoretical model to production Implementation of Market Data and Risk related projects Gathering of business requirements and agreeing between IT, App Support teams, businesses teams in Repoclear/Securities. Prototyping and developing risk IT libraries/tools addressing various types of risk and financial products Analysis and implementation of algorithmic performance improvements to the existing solutions Candidate Profile / Key Skills 3+ years of experience in the risk/quant development Strong programming skills (Java 8-19/Kotlin/React JS/Hibernate/Postgres/Snowflake) AWS/Gitlab/Git/Maven R/python is a plus REST/Linux / BASH Degree in math/computer science-related disciplines. Financial/Business risk understanding and modelling experience. Experience in delivering production Risk IT solutions from the design to production Sound conceptual / technical knowledge of modern IT infrastructure stack Autonomy, problem solving skills Effective communication skills (written and oral). Ability to work with team delivery environment. 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.
The Role We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don't just have a standard data warehouse - our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges. Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group. Working with front office engineering teams as they leverage our data platform. Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading. 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 to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. 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 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 We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, ideally in Python Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Linux platforms with knowledge of various scripting languages Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter Advantageous Prior experience of working with financial market data or alternative data Relevant mathematical knowledge e.g. statistics, time-series analysis Experience in data visualisation and building web apps in modern frameworks e.g. React Experience with git Prior experience with AWS 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 analysts, 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 We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don't just have a standard data warehouse - our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges. Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group. Working with front office engineering teams as they leverage our data platform. Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading. 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 to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. 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 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 We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, ideally in Python Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Linux platforms with knowledge of various scripting languages Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter Advantageous Prior experience of working with financial market data or alternative data Relevant mathematical knowledge e.g. statistics, time-series analysis Experience in data visualisation and building web apps in modern frameworks e.g. React Experience with git Prior experience with AWS 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 analysts, 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.
The Client One of the world's largest hedge funds, this is an excellent opportunity to join the Responsible Investment Tech team in a pivotal, wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is currently undergoing significant investment. The Role Working in small, diverse, cross-functional teams, you'll collaborate closely with the Responsible Investment team on the strategic build-out of cutting-edge technology to achieve ESG goals. Your projects will be varied and cover everything from onboarding the best vendor ESG datasets for research, analysis & reporting, creating Python APIs to facilitate easy access to ESG data, to developing tools to ensure actionable ESG data is available firm-wide The majority of the company's systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on. Requirements Expert programming experience (ideally in Python) Understanding of the challenges of handling large datasets (structured and unstructured) Proponent of collaborative software engineering techniques and agile methods Solid Linux platforms experience with various scripting languages Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Nice to have Proficient with a range of open-source frameworks and development tools, e.g. NumPy SciPy/Pandas, Spark, Jupyter Previous experience of working with financial market data or alternative data Familiarity with the ESG space Experience with git Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
May 01, 2024
Full time
The Client One of the world's largest hedge funds, this is an excellent opportunity to join the Responsible Investment Tech team in a pivotal, wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is currently undergoing significant investment. The Role Working in small, diverse, cross-functional teams, you'll collaborate closely with the Responsible Investment team on the strategic build-out of cutting-edge technology to achieve ESG goals. Your projects will be varied and cover everything from onboarding the best vendor ESG datasets for research, analysis & reporting, creating Python APIs to facilitate easy access to ESG data, to developing tools to ensure actionable ESG data is available firm-wide The majority of the company's systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on. Requirements Expert programming experience (ideally in Python) Understanding of the challenges of handling large datasets (structured and unstructured) Proponent of collaborative software engineering techniques and agile methods Solid Linux platforms experience with various scripting languages Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Nice to have Proficient with a range of open-source frameworks and development tools, e.g. NumPy SciPy/Pandas, Spark, Jupyter Previous experience of working with financial market data or alternative data Familiarity with the ESG space Experience with git Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
This is a fantastic opportunity for a smart, motivated problem-solver to be the first-ever senior data hire at this London-based global firm, joining the Business Engineering team that develops and enhances systems used across the business, including front office trading, middle office operations and actuarial functions. You would work with other highly experienced engineers to design and develop data services across the business, including feed and trade processing systems, as well as data pipelines to extract and transform critical data used by strategists. Successful candidates would have the potential to make a real impact from day one with a great deal of influence and ownership over their work. This is a unique opportunity for huge impact and progression within a well-established firm. Requirements 5+ years' experience of data engineering (within financial services is preferred, but not necessary) Solid experience of data integration, modelling, optimisation and data quality tools and techniques Experience with AWS is a must-have Knowledge of SDLC and development best practices Desirable Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks) Benefits Market-leading base + bonuses Meritocratic work culture and superb chance to work with the best engineers Direct business impact, little to no 'red tape' Contact If you think you're a suitable candidate for the role and would like further info, please contact: Stan Cannons
May 01, 2024
Full time
This is a fantastic opportunity for a smart, motivated problem-solver to be the first-ever senior data hire at this London-based global firm, joining the Business Engineering team that develops and enhances systems used across the business, including front office trading, middle office operations and actuarial functions. You would work with other highly experienced engineers to design and develop data services across the business, including feed and trade processing systems, as well as data pipelines to extract and transform critical data used by strategists. Successful candidates would have the potential to make a real impact from day one with a great deal of influence and ownership over their work. This is a unique opportunity for huge impact and progression within a well-established firm. Requirements 5+ years' experience of data engineering (within financial services is preferred, but not necessary) Solid experience of data integration, modelling, optimisation and data quality tools and techniques Experience with AWS is a must-have Knowledge of SDLC and development best practices Desirable Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks) Benefits Market-leading base + bonuses Meritocratic work culture and superb chance to work with the best engineers Direct business impact, little to no 'red tape' Contact If you think you're a suitable candidate for the role and would like further info, please contact: Stan Cannons
The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets counterparty portfolios, and build a consolidated risk management interface that houses curated datasets from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market volatility. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 2 - 5 years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Designing enterprise-level applications, or analyzing raw data sets, using Snowflake Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. 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
The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets counterparty portfolios, and build a consolidated risk management interface that houses curated datasets from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market volatility. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 2 - 5 years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Designing enterprise-level applications, or analyzing raw data sets, using Snowflake Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. 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 Role We are seeking a highly motivated and experienced engineer to join the Responsible Investment Tech team within Man Technology. You will play a pivotal role in our strategic build-out of cutting-edge technology to achieve our ESG goals. Collaborating with our Responsible Investment (RI) team, Data Science and the investment engines across the company, you will contribute to the development of our quant-driven RI strategies and discretionary RI portfolios. Your Responsibilities Onboarding and analysing the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of security's ESG alignment. Creating Python APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing tools and reports to ensure actionable ESG data is available firm-wide, including interactive tools, static reports, and Jupyter notebooks. Integrating ESG data into Man's back-office systems. Your Impact and Growth In this role, you will gain a deep understanding of the Responsible Investment space contributing to and supporting research conducted by our teams. You will have the opportunity to apply technology, and quantitative strategically, shaping our technology landscape and making a significant impact from the start Analysing and productionising the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of the key metrics and aid the development of innovative research across the RI space. Designing, creating and maintaining python based data pipelines and APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing solutions to ensure innovative and robust ESG data is available firm-wide, including proprietary tools and webapps used within investment making decisions. Our Technology We primarily work with Linux and Python, utilizing the full scientific stack (numpy, scipy, pandas, scikit-learn) extensively. MongoDB serves as our primary storage solution. We leverage Docker, Kubernetes, and Airflow for streamlined deployments, while OpenFin and React drive our front-end development. Working Here At Man Tech, we foster a small company, no-attitude culture that is transparent, collaborative, and open. You will have ample opportunities for growth and the chance to make a real difference. We actively engage with the broader technology community, hosting and sponsoring London's PyData and Machine Learning Meetups. We also contribute to open-source projects and share our technology innovations. In our fantastic open-plan office overlooking the River Thames, we organize regular social events ranging from photography to climbing, karting, and wine tasting. We offer competitive compensation, a generous holiday allowance, flexible benefits, and a commitment to continuous learning and development through coaching, mentoring, and sponsoring professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, preferably in Python. Proficiency in handling large structured and unstructured datasets. Advocate for collaborative software engineering techniques (agile development, continuous integration, code review, etc.). Proficient with Linux platforms and scripting languages. Working knowledge of one or more relevant database technologies (MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server). Proficiency with open-source frameworks and development tools (NumPy/SciPy/Pandas, Spark, Jupyter). Advantageous Prior experience with financial market data or alternative data. Familiarity with the ESG space and investment technology/approaches. Experience in data visualization and modern web app frameworks (e.g., React). Proficiency with git. Personal Attributes Strong academic background with a degree in Computer Science, Mathematics, Engineering, or Physics from a leading university. Commitment to engineering excellence and a passion for technology. Analytical problem-solving skills. Strong time management and organization skills. Excellent interpersonal and communication skills. 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 We are seeking a highly motivated and experienced engineer to join the Responsible Investment Tech team within Man Technology. You will play a pivotal role in our strategic build-out of cutting-edge technology to achieve our ESG goals. Collaborating with our Responsible Investment (RI) team, Data Science and the investment engines across the company, you will contribute to the development of our quant-driven RI strategies and discretionary RI portfolios. Your Responsibilities Onboarding and analysing the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of security's ESG alignment. Creating Python APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing tools and reports to ensure actionable ESG data is available firm-wide, including interactive tools, static reports, and Jupyter notebooks. Integrating ESG data into Man's back-office systems. Your Impact and Growth In this role, you will gain a deep understanding of the Responsible Investment space contributing to and supporting research conducted by our teams. You will have the opportunity to apply technology, and quantitative strategically, shaping our technology landscape and making a significant impact from the start Analysing and productionising the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of the key metrics and aid the development of innovative research across the RI space. Designing, creating and maintaining python based data pipelines and APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing solutions to ensure innovative and robust ESG data is available firm-wide, including proprietary tools and webapps used within investment making decisions. Our Technology We primarily work with Linux and Python, utilizing the full scientific stack (numpy, scipy, pandas, scikit-learn) extensively. MongoDB serves as our primary storage solution. We leverage Docker, Kubernetes, and Airflow for streamlined deployments, while OpenFin and React drive our front-end development. Working Here At Man Tech, we foster a small company, no-attitude culture that is transparent, collaborative, and open. You will have ample opportunities for growth and the chance to make a real difference. We actively engage with the broader technology community, hosting and sponsoring London's PyData and Machine Learning Meetups. We also contribute to open-source projects and share our technology innovations. In our fantastic open-plan office overlooking the River Thames, we organize regular social events ranging from photography to climbing, karting, and wine tasting. We offer competitive compensation, a generous holiday allowance, flexible benefits, and a commitment to continuous learning and development through coaching, mentoring, and sponsoring professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, preferably in Python. Proficiency in handling large structured and unstructured datasets. Advocate for collaborative software engineering techniques (agile development, continuous integration, code review, etc.). Proficient with Linux platforms and scripting languages. Working knowledge of one or more relevant database technologies (MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server). Proficiency with open-source frameworks and development tools (NumPy/SciPy/Pandas, Spark, Jupyter). Advantageous Prior experience with financial market data or alternative data. Familiarity with the ESG space and investment technology/approaches. Experience in data visualization and modern web app frameworks (e.g., React). Proficiency with git. Personal Attributes Strong academic background with a degree in Computer Science, Mathematics, Engineering, or Physics from a leading university. Commitment to engineering excellence and a passion for technology. Analytical problem-solving skills. Strong time management and organization skills. Excellent interpersonal and communication skills. 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.