Model Risk Manager
- San Francisco, CA
Serving as the model validation lead for credit loss statistical models including ratings,economic capital, and models used for Comprehensive Capital Analysis and Review (CCAR) and Dodd-Frank Act Stress Tests (DFAST) submissions; Independent testing and documenting validation results, including analyzing and interpreting statistical data, assessments of model conceptual soundness, evaluation of data and assumptions, testing model computational accuracy, and performing outcomes analysis; Managing the resolution of findings, recommending management action plans, and tracking remediation progress; Assisting in the development, maintenance and implementation of the Bank's Model Risk Management Program utilizing statistical methods; Consulting with model users on the design of effective model operational controls; Interfacing with regulators from the Office of the Comptroller of the Currency (OCC) and Federal Reserve Bank (FRB); and contributing to regulatory bank exams by preparing materials regarding the results of statistical analysis for regulators, and presenting to various bank examiners as required; Giving industry presentations as required; and preparing, and presenting state-of-the-art modeling techniques at banking industry conferences; Coordinating third party consulting contracts for model validation related work.
Education: Master's degree in Economics, Financial Engineering, Mathematics, Statistics or a related field (or foreign equivalent degree).
Experience:5 years of experience in the banking industry in a risk management capacity building or validating statistical forecast models using SAS or R, including CCAR or DFAST models.
Location:San Francisco, CA
We are committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our people and our business; Equal Opportunity Employer: Minority/Female/Disability/Veteran.
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