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- PhD in quantitative finance, statistics or a related quantitative field; or Master's degree with equivalent work experience
- Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may includebut is not limited to statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
- Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may includebut are not limited toPython, R, SQL, Java, SAS, and MATLAB.