Must include 5 years of experience in each of the following Analyzing and managing large, complex financial dataset with programming tools such as SAS, SQL and R; Developing and analyzing statistical models such as linear regression, auto regression, or logistic regression to assess model diagnostic and model performance; Generating statistical analysis to support stress testing, credit risk management, regulatory examinations; and, Utilizing econometric and statistical modeling techniques to assess test results and improve model performance.

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