L

LSEG

Global financial market infrastructure and data

Senior Analyst - Quant Research

Quantitative Research +1Confirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Approximately 5 years of experience in quantitative development, financial data analytics, quantitative research, or a related discipline.
  • Strong hands-on Python and SQL skills.
  • A good understanding of equity markets and quantitative techniques such as regression, optimisation, factor investing, and risk modelling.
  • A rigorous approach to financial data and quality assurance.
  • Attention to detail, ability to learn quickly, take ownership, and manage multiple priorities as required in a changing work environment.

Responsibilities

  • Develop, test, and maintain Python- and SQL-based research tools, investment analytics, and data pipelines using software engineering and continuous integration and continuous delivery 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 artificial intelligence-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 Worldscope, IBES, Lipper, Datastream, and Refinitiv Workspace datasets and platforms, developing an 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 requiring analytical and technical expertise.
  • Respond to internal and external analytical enquiries and contribute to client-facing analysis and materials.
  • Continuously improve existing code, processes, and research infrastructure, focusing on scalability, automation, accuracy, and maintainability.

Desired Qualifications

  • Experience with pandas, NumPy, Git, testing, continuous integration and continuous delivery, cloud computing, and development environments such as VS Code and GitHub Copilot.
  • Practical experience developing with generative artificial intelligence and artificial intelligence agents.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

Recently Posted Jobs

Explore more opportunities at LSEG

See more jobs