Senior Analyst, Quant Research

Role Profile FTSE Russell is a leading global index provider, creating and managing benchmark, analytics and data solutions used by asset owners, asset managers, investment banks, ETF providers and other financial institutions worldwide. The role sits within the Equities & Multi-Asset Index Research & Design team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions.

The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions.

Role Profile FTSE Russell is a leading global index provider, creating and managing benchmark, analytics and data solutions used by asset owners, asset managers, investment banks, ETF providers and other financial institutions worldwide. The role sits within the Equities & Multi-Asset Index Research & Design team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions.

The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions.

Role Profile FTSE Russell is a leading global index provider, creating and managing benchmark, analytics and data solutions used by asset owners, asset managers, investment banks, ETF providers and other financial institutions worldwide. The role sits within the Equities & Multi-Asset Index Research & Design team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions.

The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions. We are seeking a highly technical and versatile Senior Analyst, Quantitative Research & Development who enjoys solving problems across quantitative development, data analysis, research and operational delivery. This is a hands-on role requiring the ability to switch rapidly between priorities: one day developing a Python research tool or AI-enabled workflow, another investigating a complex data issue, validating investment analytics or supporting a research or client request.

The successful candidate will take ownership of problems from investigation through resolution and be comfortable working across multiple teams and disciplines.
Key Responsibilities Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root causes across data, code and methodology. Develop automation and AI-enabled tools and agents to improve research, data checking and operational workflows.

Support quantitative investment and index research, including factor analysis, regression, portfolio optimisation, risk modelling and performance analytics. Work with datasets and platforms including Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace, developing a strong understanding of their structure, coverage and appropriate application. Partner with Research Analysts, Engineering, Technology and Data Operations to translate analytical requirements into robust, scalable solutions. Support index research, methodology development, rebalances and other operational activities where strong analytical and technical expertise is required.

Respond to internal and external analytical enquiries and contribute to client-facing analysis and materials. Continuously improve existing code, processes and research infrastructure with a focus on scalability, automation, accuracy and maintainability.
Candidate Profil
e 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, Num Py, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and Git Hub Copilot is highly desirable, as is practical experience developing with generative AI and AI agents. Candidates should have a good understanding of equity markets and quantitative techniques such as regression, optimisation, factor investing and risk modelling, combined with a rigorous approach to financial data and quality assurance.

Above all, we are looking for an agile, curious and highly motivated problem solver who pays meticulous attention to detail, learns quickly, takes ownership and is comfortable juggling multiple priorities in an environment where the skills required can change from one task to the next.
Career Stage Senior Associate London Stock Exchange Group (LSEG) Information Join us and be part of a team that values…