CFM is a $13.8B AUM quantitative trading firm built on Python, C++, SQL, and cloud infrastructure (AWS, GCP, Azure). The tech stack reveals a mature data-science operation—NumPy, Pandas, scikit-learn, Spark, and Polars dominate modeling—paired with heavy infrastructure investment (Kubernetes, Docker, EMR). Active hiring skews senior (23 of 40 roles) across data, engineering, and ops, with acute focus on modernizing legacy databases and trading-cost optimization, signaling a multi-year platform-engineering push beneath the quant surface.
Notable leadership hires: Tech Lead
Capital Fund Management is a Paris-based alternative investment manager and systematic trading pioneer, founded in 1991. The firm manages quantitative strategies across global capital markets using statistical analysis of large financial datasets for asset allocation and automated execution. Regulated by AMF, SEC, and CFTC, CFM employs 201–500 staff across research, engineering, trading operations, and compliance. The organization is actively investing in platform modernization—front-end redesigns for trading screens, back-testing framework development, and automation of operational workflows—while reducing technical debt and trading costs through infrastructure improvements.
Primary stack: Python, C++, SQL, VBA. Supporting: Pandas, NumPy, scikit-learn for quantitative modeling; FastAPI and Flask for services; Bash for automation.
Multi-cloud: AWS (actively adopting), GCP, Azure. Also uses AWS EMR for big-data processing and Kubernetes for orchestration.
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