Lead Index Research & AI-Driven Design

LSEG (London Stock Exchange Group); New York (NY); On-site; USD 155,300 - 258,900; Full time

Job summary

LSEG (London Stock Exchange Group) in New York is seeking a manager-level researcher to partner with engineering, translating index designs into scalable, cloud-based solutions on AWS, and driving AI/LLM integration into research workflows.

You will contribute to new index products from feasibility through launch, develop analytical tools to improve scalability and reproducibility, and collaborate across global teams to deliver impactful results.

Qualifications

• Significant experience in equity/index research or quantitative investment roles.
• Strong understanding of index construction and portfolio techniques.
• Hands-on Python experience in data-intensive environments.
• Experience with cloud platforms (AWS) and collaborating with engineering teams.
• Curiosity about AI/LLM tools and practical exposure to their use in research.
• Proven ability to translate research into scalable outputs and products.

Responsibilities

• Partner with engineering teams to translate index designs into scalable, production-ready solutions on cloud platforms.
• Drive the integration of AI/LLM capabilities into research workflows, analytics, and product development.
• Contribute to development of new index products from feasibility to implementation and launch.
• Develop analytical tools and processes to improve scalability, efficiency, and reproducibility of research.

Skills

Python

AWS cloud platforms

Equity/index research

AI/LLM capabilities

Strong communication

Multi-functional collaboration

Tools

AWS

Job description

LSEG (London Stock Exchange Group) in New York is seeking a manager-level researcher to partner with engineering, translating index designs into scalable, cloud-based solutions on AWS, and driving AI/LLM integration into research workflows.

You will contribute to new index products from feasibility through launch, develop analytical tools to improve scalability and reproducibility, and collaborate across global teams to deliver impactful results.