Consumer Credit Risk Review Manager

Responsibilities:

• Develops Consumer Credit Review plan using a risk-based approach and executes the Consumer Credit Reviews across all consumer lending products covering credit cards, personal loans, and home equity loans), including performing a risk assessment on the overall portfolio.
• Collaborates with credit strategy teams to mitigate any identified credit risk concerns. Reports finding through the appropriate, established governance processes.
• Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) Consumer Credit Review assessment results and analytic findings in a clear, complete, and concise manner.
• Develops, manages, and maintains reporting and oversight of consumer credit risk appetite, tolerance, and thresholds. This includes the awareness of consumer credit strategies and the implications of changes in strategy to the profitability of the enterprise.
• Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system.
• Implements and maintains independent credit risk portfolio reporting across all consumer lending products.

Minimum Qualifications

• At a minimum, here’s what we need from you:
• Masters Degree in Statistics, Economics, Engineering, Finance, or related quantitative field
• 8+ years of experience in Statistics, Economics, Engineering, related quantitative field, equivalent internship, or research experience.
• In lieu of a degree, 15+ years of experience in credit card, or related financial services industry

Preferred Qualifications

• Ph.D. in Statistics, Economics, Engineering, Finance, or related quantitative field.
• 10+ years of experience in Statistics, Economics, Engineering, related quantitative field, equivalent internship, or research experience.
• 10 + years of experience in credit review, credit risk management, or internal audit credit risk coverage function at a large financial institution.
• Knowledge and use of statistical packages such as SQL, SAS, Python, or other tools to mine, extract complex consumer and transaction level data on big data and/or cloud computing platforms.