Risk and limits platform for derivatives dealers and central banks
CompatibL builds mission-critical risk, limits, and regulatory capital software for institutional finance — four major derivatives dealers, 25+ central banks, and supranationals. The tech stack reveals a mature engineering operation: C++/C# core with Python, QuantLib, and heavy cloud infrastructure (Azure, Kubernetes, Snowflake, ClickHouse). Active migration from Azure (replacing in stack) and pivot toward cloud-native data architecture (Snowflake, Data Lake, Spark) suggests infrastructure modernization is the primary internal focus. Engineering-heavy hiring and narrow specialization (risk only, no adjacent products) indicate deep domain expertise over breadth.
CompatibL is a software vendor focused exclusively on trading, risk management, limits, and regulatory capital solutions for institutional financial firms. Founded in 2003 with a live limit-management system still running in production across New York, London, and Tokyo, the company has remained independent and customer-focused for two decades. Current operations span 200+ employees distributed across US, UK, Europe, and Singapore, with engineering concentrated on model validation, infrastructure deployment, and data architecture modernization. The platform serves some of the largest and most regulated institutions in global finance.
Core languages: C++, C#, Python. Quantitative: QuantLib. Cloud: Azure, Snowflake, Azure Data Factory, AKS. Data: ClickHouse, Cassandra, Spark. DevOps: Kubernetes, Docker, Terraform, GitLab, Jenkins.
Currently hiring in United States, United Kingdom, Poland, Portugal, and Singapore. Active openings are primarily engineering roles (7 open), with smaller presence in finance, data, and product.
Model validation, risk enterprise software, data migration to Azure, CI/CD pipeline implementation, monitoring systems, and cloud infrastructure deployment. Primary challenge is modernizing legacy ETL and data architecture.
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