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Principal Consumer Credit Risk Specialist
2 months ago
Our client, a large financial services organization, is seeking a Principal Consumer Credit Risk Specialist to join the team.
Responsibilities:
- Leads and executes CCAR Reviews based on CCAR’s annual plan. Responsibilities include providing thought leadership & strategic thinking in developing review scope and work plan; coordinating with business partners to get data/information; determining appropriate approach to ensure a comprehensive and accurate view in assessing credit performance and asset quality; identifying data attributes, independently coding, and interpreting the analysis results by leveraging techniques such as segmentation, and advanced analytics; reviewing the credit risk strategies for its alignment with the company’s credit risk appetite and credit policy, and identifying shortfalls in credit strategies by effectively challenging the assumptions used to develop credit strategies; and delivering effective presentations of CCAR Review results, findings and recommendations to multiple levels of leaderships.
- Conducts effective challenge on credit strategies and the credit management governance framework, new initiatives, risk appetite/key risk indicator framework and thresholds, and loan classification criteria. Continuously monitors and validates risk appetite and key risk indictors.
- On a regular basis, independently reviews, assesses, and monitors the credit quality of Discover loan portfolios (Card, DPL, DSL, and DHL). Responsibilities include designing and enhancing monitoring metrics; generating monitoring reports and summaries; and establishing early warning indicators to identify shifting portfolio trend.
- Performs ad hoc credit risk/asset quality analysis. Delivers effective presentation of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Minimum Qualifications:
- Master's degree in Statistics, Economics, Analytics, Mathematics, or Engineering.
- 4+ years of experience in Statistics, Economics, Engineering, or other quantitative discipline, equivalent internship or research experience
- In lieu of a master’s degree, experience in Mathematics, Economics, Engineering, or any related field with relevant modeling/analytical experience, including a bachelor’s degree.
