Data Scientist

We see the world differently at Capstone Investment Advisors. Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $12.5 billion of AUM (as of May 1, 2026) and 306 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland.

Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry. With our sophisticated, global client base, we recognise that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.

Overview: Capstone’s Data and AI group is at the forefront of innovation, leveraging data and AI to drive investment strategies. We integrate diverse data sources and AI solutions to uncover unique insights and alpha opportunities. Our team collaborates closely with portfolio managers, quants and engineers, to develop data-driven decisions. The ideal candidate possesses exceptional problem-solving skills, collaborative mentality, and an ability to bring innovative ideas to life. The role offers great exposure to many and varied areas of the hedge fund.

Responsibilities and Impact:

• Support the analytical needs of enterprise and investment teams, including data cleansing, mapping, statistical inference, feature engineering and bespoke data visualisation methods.
• Partner with data engineers to evaluate and reconcile datasets produced by different systems and teams — pricing, risk, execution, treasury — into consistent, joinable schemas.
• Design and build a canonical internal security master and reference data layer.
• Design and build a firmwide internal data catalogue and field-level metadata master.
• Build firmwide data-quality tools for automated checks and drift alerts.
• Analyse, design and curate core data products that integrate into our central data and AI platform.
• Partner with AI engineers so each data domain is AI ready — agents can use it immediately.
• Curate and present relevant research and technical documentation to build and maintain an up-to-date, accurate and accessible knowledge store.

Our future colleague has these skills:

• Strong academic record and higher education degree with high mathematical and computing content e.g. computer science, mathematics, physics, statistics or another disciplines involving technical and quantitative analysis techniques.
• Experience working with structured and unstructured data.
• Excellent communication skills and the ability to work with, and inspire, a wide cross section of data professionals.
• Prior experience in the investment management industry.
• Familiarity of language models, vector databases and prompt engineering.
• CFA qualified a plus.