Must have a Bachelors degree or foreign equivalent in Financial Risk Management, Analytics, Economics, Engineering, Computer Science, or a related field, plus 5 years of postbachelors, progressive related work experience.br br In the alternative, the employer will accept a Masters degree or foreign equivalent in Financial Risk Management, Analytics, Economics, Engineering, Computer Science, or a related field, plus 3 years of related work experience.br br Must have at least one year of experience with each of the followingbr br Developing andor validating testing of models within the Financial Services sector, including the banking industry, consulting, or government regulatory positions;br Analysis techniques of complex financial services data, including programming and computational techniques for large data sets and quantitative analyses;br Leveraging and utilizing tools such as SAS, R or Python software, ExcelVBA, SQL; andbr Assist with drafting model documentation and validation reports which focus on the following model types Retail, Wholesale, Credit risk models, including underwriting credit scorecards, portfolio credit monitoring models, CCAR and DFAST credit loss forecasting models, based PDLGDEAD models, and allowance for loan and lease loss models.br br Travel up to 80 is required.
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