2 of 2 Stochastic Calculus Jobs in the City of London

be responsible for designing, developing, and optimizing high-performance, low-latency trading infrastructure and quantitative models within a hedgefund in London. This role focuses on implementing models related to Stochastic Processes & Probabilistic Modeling, ensuring their efficient execution within a real-time trading environment. The developer will work closely with quantitative researchers and traders to translate mathematical concepts into robust … Responsibilities Infrastructure Development: Build and maintain critical low-latency trading infrastructure components using modern C++ standards (C++17/20). Quantitative Model Implementation: Translate quantitative models, particularly those involving stochastic processes (e.g., Brownian motion, jump-diffusion models, Ito processes), into highly efficient and accurate C++ code. Performance Optimization: Identify and resolve performance bottlenecks in existing and new systems, focusing … Synchronization Primitives (Mutexes, Semaphores, Monitors, Locks), Deadlocks and Deadlock Prevention/Detection/Avoidance, and Condition Variables. Quantitative Finance Knowledge: Solid understanding of quantitative finance concepts, including probability theory, stochastic calculus, and financial derivatives. Specific experience with stochastic processes is essential. Performance Tuning: Experience with performance profiling tools and optimization techniques. Operating Systems: Experience with Linux/ More ❯

involvement in curve construction and modeling What We’re Looking For Strong front office quant background, with deep expertise in interest rates, yield curve calibration , and classical quantitative finance (stochastic calculus, PDEs, no-arbitrage valuation, numerical analysis) Proven experience implementing models in a front office C++ library (C++11+), not just using implementations from other teams Familiarity with Python More ❯