Must have 3 years of experience in each of the following Analyzing and managing large, complex financial dataset with programming tools such as Python, SAS, SQL and R; Developing and analyzing statistical, optimization and machine learning techniques such as regression, convex optimization or classification tree to assess model diagnostic and model performance; Generating statistical analysis to support stress testing, credit risk management, regulatory examinations; and, Utilizing financial pricing modellibrary to assess derivative, assets and liability valuation.

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