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Join an elite team to build a sophisticated OTC derivative pricing system entirely from scratch using an open-source library architecture. We are looking for an exceptional, hands-on practitioner who can dissect academic research papers and build production-grade, numerically intensive execution engines from the ground up. Note: This is a pure individual contributor (IC) role with zero people-management or advisory-only responsibilities. You must hit the ground running on day one.
Job Responsibility
Design, code, calibrate, and roll out pricing and risk frameworks for complex OTC derivatives from scratch
Implement robust Monte Carlo methods, Tree/lattice methods, and PDE approaches
Manage multi-curve setups, sophisticated interpolation, and bootstrapping frameworks
Fully understand, explain, and validate every model output and underlying number under intense technical scrutiny
Requirements
Master's or PhD preferred in Mathematics, Physics, Quantitative Finance, Computer Science, or equivalent elite commercial experience
Production Java Mastery: Deep experience writing multi-threaded, memory-optimized, and numerically intensive Java libraries
Derivative Product Expertise: Advanced validation and payoff-modeling knowledge of variance swaps, volatility swaps, and knock-in/knock-out barriers
Financial Foundations: Faultless, front-to-back mastery of complex financial dates (payment dates, calculation periods, accrual rules, fixings, resets, and cash flows)
Technical Articulation: Ability to clearly explain and defend your personal choices of numerical methods, library architecture, and production implementation models