p>Minimum requirements: Master's degree (or foreign equivalent) in Applied Mathematics, Computing, Data Science, Materials Science, or related STEM field of study plus three (3) years of experience as a Model Risk Analyst, Data Scientist, Quantitative Analyst, Product Developer, or related occupation. Data Science concepts, including statistics and probability, exploratory data analysis (EDA), machine learning, model evaluation and selection, feature engineering, time series analysis, loss forecasting, and model validation concepts such as cross validation, model performance metrics selection, and bias-variance tradeoff.