Senior Manager - Consumer Credit Risk Oversight & Analytics

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description:

This position within Corporate Risk Management is responsible for managing a team and having responsibility over oversight of consumer credit strategy and policy. Primarily, the incumbent is responsible for providing an independent view on the key consumer credit risks of the firm's consumer lending practices. Responsibilities will include evaluating and monitoring consumer credit risk appetite, tolerance, and thresholds. Also defines the process for monitoring the performance of the consumer credit portfolio and performs reviews of credit risk strategies, while evaluating trade-offs among key business metrics, such as credit losses, receivables, and profit. This will necessitate initiating and conducting ad-hoc or deep dive analytical projects/studies to identify incremental credit and loss mitigation opportunities across the credit life cycle i.e. acquisitions, account management and collections around large datasets, identifying, designing, and implementing complex business analyses in support of business strategy. Develops and coaches' teams to be able to identify, manage, and escalate risk, and effectively manage risk within the teams you oversee. 

Responsibilities 

• 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. 

• Evaluates credit loss assumptions for benign and stress case scenarios used for strategy development.

• Gathers and analyzes macro-economic data, competitive benchmarking data and determines impacts to ongoing portfolio performance and recommend credit strategy changes as appropriate.

• Uses statistical techniques such as decision trees, regression and other advanced predictive modeling, A/B testing to optimize credit risk.

• Develops, implements, and maintains processes for targeted review of credit strategies across all consumer lending products, 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. 

• Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system. 

• Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) analytic findings and portfolio-risk ranking processes in a clear, complete, and concise manner. 

• Implements and maintains independent credit risk portfolio reporting across all consumer lending products. 

• Participates in department, CRM, and enterprise-management processes and practices to attract and develop talent. Provides constructive feedback, coaching, training, etc., to team members on a routine basis in order to effectively manage and mentor team members.  

Minimum Qualifications 

At a minimum, here’s what we need from you: 

• Master's Degree in Statistics, Economics, Engineering, Finance, or related quantitative field.

• 8+ years of experience in Statistics, Economics, Engineering, 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 

If we had our say, we’d also look for: 

• Ph.D. in Statistics, Economics, Engineering, Finance, or related quantitative field 

• 10+ years of experience in Statistics, Economics, Engineering, quantitative field, equivalent internship, or research experience.

• 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.

Application Deadline:

The application window for this position is anticipated to close on May-13-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

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