Senior Software Engineer, Quantitative Research

About the role

The Index Research & Design team at FTSE Russell (LSEG) is looking for a Senior Software Engineer to build the technology behind the next generation of index research and product innovation. Working at the intersection of quantitative finance, software engineering and cloud technologies, you will develop scalable research platforms, analytical libraries and production-ready software, collaborating with quantitative researchers, product specialists and engineering teams.

Key responsibilities

• Design and develop Python-based software, analytical libraries and reusable components for index research and methodology development.
• Build scalable applications, data pipelines and analytical frameworks for analysing large financial datasets and evaluating new index concepts.
• Develop high-performance data processing solutions using modern Python technologies, including Polars, PyArrow and SQL.
• Partner with researchers to turn analytical prototypes into robust, maintainable, production-ready software.
• Work with engineering teams to implement research capabilities on AWS and integrate analytical solutions into enterprise platforms.
• Design APIs and shared services that improve collaboration between research, engineering and product teams.
• Evaluate and implement AI-assisted development tools and Large Language Model (LLM) technologies to improve productivity, documentation and knowledge management.
• Champion modern software engineering practices: automated testing, code reviews, version control, CI/CD and reproducible development.
• Contribute to the team's technical roadmap by identifying technologies that improve scalability, efficiency and innovation.

Required profile

• Significant experience developing software in quantitative finance, financial data, investment research or another data-intensive analytical environment.
• Expert Python programming skills with experience building high-quality, maintainable software.
• Strong experience processing large and complex datasets with modern Python data libraries such as Polars, PyArrow and SQL.
• Experience developing applications or analytical services on AWS or another major cloud platform.
• Good understanding of financial markets, index methodologies or quantitative investment concepts, with the ability to work with quantitative researchers.
• Excellent communication skills and ability to work across research, engineering, product and technology teams.
• Preferred: experience in financial analytics or index-related applications, familiarity with Git, automated testing and CI/CD, use of AI coding assistants or LLM APIs, and an MSc or PhD or equivalent in a quantitative field.

Required skills

• Python, Polars, PyArrow, SQL
• AWS or another major cloud platform
• Software architecture, APIs and data engineering concepts
• CI/CD, automated testing, version control

What we offer

• Anticipated base salary of $192,400 - $320,600, with eligibility for the Annual Incentive Plan (bonus plan).
• LSEG benefits programme: wellness allowance, paid time off, medical, dental, vision, flex spending and health savings options, prescription drug plan, 401(k) with company match, life insurance, disability and emergency backup dependent care, and more.