Manager, Quant Researcher/Developer

LSEG; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

LSEG is seeking an experienced Manager, Quantitative Research & Development, to join their dynamic team in London. The successful candidate will drive operational efficiency through quantitative research, software development, and client engagement, working closely with various teams to deliver innovative solutions.

The ideal applicant will have approximately 10 years of experience, strong programming skills in Python and SQL, and a solid foundation in equity markets and quantitative techniques. This role offers a range of benefits including healthcare and retirement planning.

Qualifications

• Approx. 10 years of experience in quantitative research, development, or investment analytics.
• Strong skills in Python and SQL, with experience in CI/CD and cloud computing.
• Solid understanding of equity markets and quantitative investment techniques.

Responsibilities

• Develop and maintain quantitative research and analytics platforms.
• Build AI-enabled workflows and tools to improve support.
• Support quantitative research initiatives across strategies.
• Investigate and resolve complex data issues with high standards.
• Drive improvements in research infrastructure and processes.
• Partner with teams to deliver business objectives.
• Provide analytical support for data and methodologies.
• Contribute across research and product development lifecycle.

Skills

Python

SQL

CI/CD

Cloud computing

AI-assisted development tools

Regression analysis

Optimization

Factor investing

Risk modelling

Tools

GitHub Copilot

VS Code

Worldscope

IBES

Lipper

Datastream

Refinitiv Workspace

Job description

FTSE Russell – Equities & Multi-Asset Index Research & Design

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. 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. 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. The team works 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 the team as a Manager, Quantitative Research & Development. This is a highly dynamic role for an individual who can seamlessly switch between quantitative research, software development, data quality, operational support and client engagement. Success in this position 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

• 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.

Candidate Profile

The ideal candidate will have approx. 10 years of experience spanning quantitative research, quantitative development, investment analytics or related disciplines. They will possess 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. A solid understanding of equity markets and quantitative investment techniques – including regression analysis, optimisation, factor investing and risk modelling – is essential. Experience with financial databases and platforms such as Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace is highly desirable. The candidate must be an agile, intellectually curious self‑starter who can be productive from day one, communicate effectively with both technical and non‑technical stakeholders, manage multiple priorities simultaneously and thrive in an environment where the required skill set may change significantly from one day to the next. Career Stage: Manager

Benefits

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Equal Opportunity Statement

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.