Manager, Quant Researcher​/Developer

Manager, Quantitative Research & Development

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

• Develop and maintain quantitative research, analytics and automation platforms.
• Build AI‑enabled workflows, tools and agents to improve research, operational efficiency and client support.
• Support quantitative research initiatives, investment analytics and index methodology development across equity and multi‑asset strategies.
• Investigate and resolve complex data, analytics and operational issues while maintaining the highest standards of quality and accuracy.
• Drive improvements in research infrastructure, development processes, CI/CD practices and cloud‑based solutions.
• Partner closely with Research, Engineering, Technology, Product, Data Operations and Sales teams to deliver business objectives.
• Provide analytical support and respond to internal and external enquiries relating to data, methodologies, analytics and product capabilities.
• Contribute across the full lifecycle of research and product development, from idea generation and data validation through implementation, deployment and client‑facing delivery.

• Approx. 10 years of experience spanning quantitative research, quantitative development, investment analytics or related disciplines.
• Strong Python and SQL skills, experience with CI/CD, cloud computing, AI‑assisted development tools (e.g. Git Hub Copilot, VS Code) and modern software engineering practices.
• Solid understanding of equity markets and quantitative investment techniques – including regression analysis, optimisation, factor investing and risk modelling.
• Experience with financial databases and platforms such as Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace is highly desirable.
• Agile, intellectually curious self‑starter who is productive from day one, communicates effectively with both technical and non‑technical stakeholders, manages multiple priorities simultaneously and thrives in an environment where the required skill set may change significantly from one day to the next.

We are proud to be an equal opportunities employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy, disability or any other basis protected under applicable law. We can accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs in accordance with applicable law.