Good command of statistical programming languages (e.g., R and/or Python, Excel VBA, Java) ideally showcased via shared projects on Git or similar, with the ability to use it in a productive environment and create prototypes. * Familiarity with fundamental mathematical and statistical concepts such as calculation of various Value-at-Risk (VaR), time series analysis, copula, correlation and stochastic simulation methods, proved through relevant coursework or prior internship experience.
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