Python and data analysis techniques to design targeted independent tests, including benchmark comparisons, sensitivity analysis, backtesting, threshold calibration, small-sample analysis, and materiality assessments.Review derivatives valuation and risk methodologies, including volatility dynamics, stochastic rates, jumps, correlation, curve construction, proxying, aggregation, and risk decomposition.Assess statistical, data science, and machine learning approaches … science, or a related discipline.Practical coding ability in Python or a comparable programming language, with experience using data analysis to investigate technical questions.Understanding of derivatives pricing, risk sensitivities, calibration, probability, statistics, and numerical methods, or the ability to develop this knowledge quickly.Strong analytical judgement, including the ability to challenge assumptions ...