Financial risk advisory and debt management platform for institutional hedging
Chatham Financial advises institutions on interest-rate, FX, and commodity hedging while operating a technology platform for derivative valuation, hedge accounting, and debt analytics. Their tech stack—SQL, Snowflake, dbt, SQLMesh, Python, R—reflects a data-engineering-heavy approach to handling complex financing structures and hedging workflows. Hiring is accelerating across finance and data roles, with active projects centered on client onboarding data modeling, derivative trade structuring, and data-quality automation in processing pipelines, signaling pressure to scale advisory throughput while improving operational data reliability.
Founded in 1991, Chatham Financial is an independent risk advisory and technology firm serving over 3,500 institutional clients across debt, derivative, and hedging domains. The firm handles more than $1.5 trillion in annual transaction volume, managing exposures in interest rates, foreign currencies, and commodities. Beyond advisory services, Chatham operates proprietary technology products (including ChathamDirect, a risk management application) that support hedge accounting, defeasance, valuations, and debt analytics. The organization spans 501–1,000 employees based primarily in Kennett Square, PA, with operations extending to Romania, India, the UK, Australia, and Singapore.
Chatham uses SQL, Snowflake, dbt, SQLMesh, and Dataform for data transformation; Python and R for analytics; GitHub for version control; and Bloomberg, PitchBook, and Capital IQ for market data. Excel and PowerPoint remain in use for client-facing deliverables.
Current projects include client onboarding data modeling, derivative trade structuring, data profiling automation, asset platform integration for commercial real estate, custom analytics solutions, and improvements to their quarter-end close process and support ticketing infrastructure.
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