Masters Degree in Economics, Statistics, or closely related quantitative field, plus 2 years of experience in position offered or a seniorleadprincipal data science analyst role in a bank or financial services company.br br All required experience must have included performing credit risk monitoring and compliance analysis; using statistical packages and model building tools such as SQL, Tableau, SAS and Python to analyze data sets, execute models and calculate reserves or losses; using econometric models to perform root cause analysis to identify opportunities in forecasting models and improve forecasting accuracy; building statistical models such as OLS regression and using advanced statistical predictive modeling techniques such as logistic regression, decision tree using modern modeling tools SQL, SAS, and Python to provide analytical support and gain insight in the financial services industry; and using Robotic Process Automation to improve risk model efficiency.br br Telecommuting permitted from any location in the U.S.
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