Alternative investment firm with quantitative and discretionary strategies managing $20B AUM
Graham Capital is a multi-strategy hedge fund built on quantitative and systematic trading infrastructure. The tech stack reflects a mature financial engineering operation: Bloomberg, Python, XGBoost for modeling; FIX Protocol, Refinitiv, and custom execution systems for trading; Kubernetes, Docker, and multi-cloud (AWS, Azure, GCP) for infrastructure. Current hiring is concentrated in finance and data roles with mid-level focus, suggesting scaling of signal development and portfolio operations rather than foundational tech buildout.
Graham Capital Management is an alternative investment firm managing approximately $20 billion in assets for global pensions, sovereign wealth funds, endowments, foundations, and qualified investors. Founded in 1994, the firm operates from Rowayton, Connecticut and focuses on quantitative and discretionary investment solutions across global macro, trend-following, and multi-strategy mandates. The organization spans 201–500 employees and emphasizes collaboration between quantitative researchers, traders, engineers, and portfolio managers to generate diversified, non-correlated returns.
As of May 1, 2025, Graham Capital manages approximately $20 billion in assets on behalf of global institutional and qualified investors.
Graham Capital's stack includes Bloomberg, Python, XGBoost, C++, C#, .NET, FIX Protocol, Refinitiv, Kubernetes, Docker, AWS, Azure, GCP, and SQL Server for quantitative modeling, trading execution, and infrastructure.
Graham Capital is headquartered in Rowayton, Connecticut, with convenient access to New York City.
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Graham Capital Management, L.P.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.