Fixed income relative value investment manager for institutional investors
Garda Capital Partners runs fixed income relative value strategies for institutional investors from Wayzata, Minnesota. Its stack pairs a Python quant toolkit (Pandas, Polars, PyTorch, DuckDB, Parquet) with a C#/.NET desktop layer (WPF, WinForms) and Bloomberg, which points to in-house trading and risk tooling. Hiring is accelerating and finance-led, while job posts center on productionizing quantitative risk models and hardening endpoint and identity security.
Notable leadership hires: Accounting Director, Deputy Chief Compliance Officer
Garda Capital Partners is a privately held investment manager focused on relative value strategies across fixed income markets. It serves institutional investors only and does not accept investments from the general public. The firm was founded in 2015, employs 201–500 people, and is headquartered in Wayzata, Minnesota. Its other offices are in New York City, Scottsdale, Palm Beach Gardens, Geneva, Zug, Copenhagen and Singapore. Current hiring spans the United States, Switzerland and Singapore.
Garda uses Python with Pandas, NumPy, Polars, SciPy, PyTorch and TensorFlow, plus C#, .NET, WPF, gRPC, DuckDB, PostgreSQL, Oracle, Kubernetes and Bloomberg, with security tooling such as Microsoft Defender, Sentinel, Netskope and Duo.
Garda is headquartered in Wayzata, Minnesota. It also has offices in New York City, Scottsdale, Palm Beach Gardens, Geneva, Zug, Copenhagen and Singapore.
Job posts point to a risk analytics and exposure monitoring platform, productionizing quantitative risk models, endpoint and identity security initiatives, and security awareness and phishing simulation programs.
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Garda Capital Partners'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.