Location
London

Hours
Full Time

Salary
Negotiable

About the Role
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. FTSE Russell's indices underpin trillions of dollars of invested assets and play a critical role in investment management, product development and portfolio construction across global markets. This 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. The team collaborates closely with Product, Engineering, Technology, Data Operations, Sales and key clients to deliver innovative index capabilities and analytical solutions. Team members contribute across research, product development, operational delivery and client engagement, supporting a broad range of equity and multi-asset initiatives.

We are seeking an experienced quantitative professional to join as a Manager, Quantitative Research & Development. This is a highly dynamic role requiring the ability to seamlessly switch between quantitative research, software development, data quality, operational support and client engagement. Success requires a "do what it takes" mindset, strong ownership, and the ability to rapidly reprioritise across competing demands while working with Research Analysts, Engineering, Technology, Data Operations, Product, Sales and clients.

Key responsibilities include:
- Developing and maintaining quantitative research, analytics and automation platforms
- Building AI-enabled workflows, tools and agents to improve research, operational efficiency and client support
- Supporting quantitative research initiatives, investment analytics and index methodology development across equity and multi-asset strategies
- Investigating and resolving complex data, analytics and operational issues while maintaining the highest standards of quality and accuracy
- Driving improvements in research infrastructure, development processes, CI/CD practices and cloud-based solutions
- Partnering closely with Research, Engineering, Technology, Product, Data Operations and Sales teams to deliver business objectives
- Providing analytical support and responding to internal and external enquiries relating to data, methodologies, analytics and product capabilities
- Contributing across the full lifecycle of research and product development, from idea generation and data validation through implementation, deployment and client-facing delivery

Experience
Approximately 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. GitHub 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.

About you
An agile, intellectually curious self-starter who can be productive from day one. Effective communicator with both technical and non-technical stakeholders. Able to manage multiple priorities simultaneously and thrive in a fast-changing environment where the required skill set may vary significantly day to day.

Qualifications
Relevant qualifications in quantitative finance, computer science, mathematics, statistics or related fields are expected but not explicitly stated. Emphasis is placed on practical experience and demonstrated skills.