# Senior Analyst, Quantitative Research & Development

**Company**: FTSE Russell
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/London-United-Kingdom/Senior-Analyst--Quant-Research_R0124445?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## 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 requires switching rapidly between priorities, such as developing Python research tools or AI-enabled workflows, investigating complex data issues, validating investment analytics, or supporting research or client requests.

**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 Profile**

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 such as VS Code and GitHub Copilot is highly desirable, as is practical experience developing with generative AI and AI agents.

**Benefits**

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

## Skills

### Required
- Python
- SQL
- pandas
- NumPy
- Git
- testing
- CI/CD
- cloud computing

### Nice to have
- VS Code
- GitHub Copilot
- generative AI
- AI agents

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