Occupation:Data Mining Specialist |
Location:Maineville, OH |
Education Level:Bachelor |
Will Relocate:YES |
Description
Developed and implemented corporate-wide credit risk data repository and commercial risk rating model effectively enhancing pricing strategies while reducing loan losses by $35 million over a three-year period. * Led corporate initiative in the creation of advanced statistical modeling/machine learning techniques providing a significant lift to consumer loan approvals while reducing losses and exceeding growth targets. Solution provided the following benefits: real-time loan application decision minimized resource need and overhead expenses limited adverse selection and improved pricing spread. * Developed industry leading corporate relationship pricing models transforming lending and fee-based business strategy. Methodology became an integral part of the approval process and compensation structure. Functionality included FTP loss forecasting capital model and swap valuations. * Represented Federal Reserve Bank in outreach program rolling out new regulatory Enterprise Risk Management guidance to banking executives and board directors.
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Accomplishments
Highlights:
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Keywords
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