Manager, Consumer Lending Policy & Risk Analytics

Job Overview

Pen Fed is hiring a (Hybrid) Manager, Consumer Lending Policy & Risk Analytics at our Tysons, Virginia or Irving, Texas location. The primary focus of this job is to manage credit analysis to drive sustainable growth in consumer credit policy and conduct credit risk monitoring to ensure policy performance. You will explore utilizing AI in your analysis and collaborate in building advanced valuation and risk detection models.

You will conduct hands‑on analysis and have people management opportunities. You have a direct influence on strategic goal setting for the broader Consumer Lending Policy and Analytics team and positively impact on Pen Fed's credit product experience for millions of Pen Fed members.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all‑inclusive list of job duties and the position will perform other duties as assigned.

• Develop and manage automated and judgmental decisions within credit policies for both new account acquisition and accounts on book, from approve/decline, line assignment and/or portfolio risk management.
• Individual contributor or manage one analyst to achieve team's strategic goals, training and assisting development of skills and cultivating credit culture.
• Drive monitoring and analyses of credit risk for both organic and acquired portfolio, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
• Define risk segmentation, lead analysis for credit policy optimization and risk mitigation strategies, focusing on new account acquisition or existing account management policies.
• Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
• Provide ongoing or ad‑hoc risk analytics to support credit or new product expansion.
• Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of credit trends, derive actionable insights and make sound business recommendations.
• Collaborate with business line product managers in optimizing marketing campaigns used in acquisitions and/or customer management that align with the credit policies and scoring models.
• Participate in external and internal audits, and regulatory examinations as needed.
• Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
• Explore creative ways to incorporate AI into credit analysis and BAU process.

Equivalent combination of education and experience is considered.

• Bachelor's degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master's degree preferred.
• Minimum of eight (8) years' experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
• Minimum of three (3) years of supervisory / assistant manager experience required.
• Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
• Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
• Proficiency with statistical tools R & Python and Tableau experience strongly preferred.
• Excellent written, verbal communication and presentation skills.
• Curiosity, attention to details, strong critical thinking and problem‑solving skills.
• Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
• Self‑motivated and strong interpersonal skills to actively lead and implement ideas in a cross‑functional team environment.
• Specific experience with underwriting strategy, risk models and credit policy design in Personal loans and BNPL required.
• Experience working with data engineering/ analytics engineering teams.