Description
FTSE Russell, a leading global index provider, is seeking a highly technical and versatile Senior Analyst, Quantitative Research & Development. The role sits within the Equities & Multi-Asset Index Research & Design team, responsible for developing, designing, researching, and enhancing index methodologies, analytics, and investment solutions.
The successful candidate will take ownership of problems from investigation through resolution and be comfortable working across multiple teams and disciplines. The role involves developing, testing, and maintaining Python and SQL-based research tools, investment analytics, and data pipelines, as well as performing detailed data analysis, validation, and quality assurance across large financial datasets.
Key responsibilities include:
- Developing, testing, and maintaining Python and SQL-based research tools, investment analytics, and data pipelines
- Performing detailed data analysis, validation, and quality assurance across large financial datasets
- Developing automation and AI-enabled tools and agents to improve research, data checking, and operational workflows
- Supporting quantitative investment and index research, including factor analysis, regression, portfolio optimisation, risk modelling, and performance analytics
- Working with datasets and platforms including Worldscope, IBES, Lipper, Datastream, and Refinitiv Workspace
- Partnering with Research Analysts, Engineering, Technology, and Data Operations to translate analytical requirements into robust, scalable solutions
- Supporting index research, methodology development, rebalances, and other operational activities
- Responding to internal and external analytical enquiries and contributing to client-facing analysis and materials
- Continuously improving existing code, processes, and research infrastructure with a focus on scalability, automation, accuracy, and maintainability
The ideal candidate will have approximately 5 years of experience in quantitative development, financial data analytics, quantitative research, or a related discipline, with strong hands-on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing, and modern development environments is highly desirable.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.