Trading risk, limits and regulatory capital software for financial firms
CompatibL builds quant-heavy risk and regulatory capital software, with a C++, C#, Python and QuantLib core feeding Snowflake, ClickHouse and Spark data layers. Job posts point to a cloud data overhaul: legacy ETL moving to the cloud and data migration to Azure, even as Azure is flagged as a replacing signal, which suggests the hosting mix across Azure, AWS and OVH is still in flux. Hiring is slow and engineering-led.
CompatibL is a privately held software vendor headquartered in Princeton, NJ, founded in 2003. It focuses exclusively on trading and risk management, with products covering risk, limits and regulatory capital. Its customers include derivatives dealers, central banks, supranational institutions and financial technology vendors. The company employs 201–500 people and hires across the United States, United Kingdom, Poland, Portugal and Singapore.
CompatibL uses C++, C#, Python and QuantLib for quant work, plus Snowflake, SQL Server, ClickHouse, Spark, Kubernetes, Terraform, GitLab and Jenkins, running on Azure, AWS and OVH.
CompatibL is headquartered in Princeton, NJ, and hires in the United States, United Kingdom, Poland, Portugal and Singapore.
Job posts point to model validation, trading and risk enterprise software, data migration to Azure, infrastructure deployment, CI/CD pipeline implementation and monitoring system development.
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CompatibL'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.