Masters Degree in Statistics, Financial Engineering, or related field, plus 2 years of experience in position offered or a risk modeling role at an international bank or financial services firm.br br All required experience must have included quantitative modeling, analytical research and programming using R, Python, SAS, Stata and SQL; Microsoft Suite Word, Excel, PowerPoint; model forecasting and statistical modeling techniques such as linear regression model, time series, and machine learning techniques such as decision tree, random forest, and XGBoost; interpreting model performance metrics such as KolmogorovSmirnov statistics, population stability index, confusion matrix, receiver operating characteristic curve; front to back risk management processes, including operational risk, credit risk, risk mitigation and control, governance and reporting, monitoring and testing; banking regulatory environment and impact on risk, management practices; and stress testing techniques.br br Telecommuting is permitted from any location in U.S.

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