Global multi-asset market maker with algorithmic trading and derivatives pricing
Old Mission operates a trading infrastructure stack spanning Python, C++, PostgreSQL, and Kubernetes — built for low-latency execution across equities, options, and FX. The tech mix (Protocol Buffers, WebSockets, Docker orchestration) reflects a systems-first approach to pricing and risk. Active hiring across engineering, quantitative research, and finance (in near-equal measure) suggests simultaneous scaling of execution capability, model sophistication, and operational depth; adoption of Bazel signals investment in build-system maturity as engineering scope grows.
Old Mission is a Chicago-based market maker founded in 2008, operating globally across multiple asset classes and derivatives. The firm specializes in security valuation and rapid pricing for complex instruments, partnering with major exchanges, brokers, and institutional investors on bilateral risk transfer. Core infrastructure handles automated trading, options pricing, and FX strategies alongside position reconciliation and clearing workflows. The 201–500 person organization spans engineering, quantitative research, finance operations, and sales, with active expansion in the United States and United Kingdom.
Python, C++, Java, Go, and TypeScript lead the stack. Also uses MATLAB for quantitative work, Bash and Perl for operations, and VBA for finance tools.
Next-generation trading algorithms, options research infrastructure, pricing model enhancements, FX expansion, and CI/CD pipeline optimization with Bazel. Also focused on position reconciliation, trade execution quality, and clearing workflow scaling.
Old Mission'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.