Senior Software Engineer, Quantitative Research

Company: Lseg

Location: New York City, United States

Salary: $192.4k - $320.6k per year

Type: Full-time

Posted: 2026-08-10

About this role

Senior Software Engineer, Quantitative Research

Index Research & Design | FTSE Russell | LSEG

Role Purpose

We are looking for a Senior Software Engineer to join the Index Research & Design team and help build the technology that powers 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 that accelerate research and support the delivery of innovative index products.

You will collaborate closely with quantitative researchers, product specialists, and engineering teams to transform research ideas into robust, reusable software while driving the adoption of modern software engineering practices and AI-enabled development tools.

What you'll be doing

  • Design and develop Python-based software, analytical libraries, and reusable components that support index research, methodology development, and product innovation.
  • Build scalable applications, data pipelines, and analytical frameworks that enable researchers to analyse large financial datasets and efficiently evaluate new index concepts.
  • Develop high-performance data processing solutions using modern Python technologies, including **Polars**, PyArrow, and SQL.
  • Partner with quantitative researchers to transform analytical prototypes into robust, maintainable, production-ready software.
  • Collaborate 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 software development, research productivity, documentation, and knowledge management.
  • Champion modern software engineering practices, including automat...

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