Quantitative Developer
East London, London, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Robert Half
techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational More ❯
Employment Type: Contractor
Rate: Salary negotiable
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