Senior Manager, Data Science

About the Role

This role leads the NPV modeling function within the Decision Science department at PenFed’s Tysons, Virginia (hybrid) location. The incumbent will manage a team of data scientists to develop, maintain, and enhance NPV models for consumer banking products, including Auto Loan, Personal Loan, Credit Card, and Deposit. The role is also responsible for building out Customer Lifetime Value (CLTV) modeling to drive member profitability. Throughout the model lifecycle, the incumbent will partner with Finance, Product Strategy, Credit Risk, Pricing, and Second Line stakeholders to validate key assumptions, ensure NPV results are updated and reviewed in a timely manner, support strategic business decisions, and maintain rigorous monitoring and reporting of model performance.

Responsibilities

• Provide leadership and management in developing and implementing programs, policies, and procedures to ensure mission and core values are implemented.
• Collaborate with key stakeholders and set agendas aligned with overall business strategic goals.
• Creatively leverage various statistical methodologies to solve business challenges.
• Develop and implement acquisition pricing and credit underwriting models to support lending decisions.
• Use advanced modeling and simulation techniques to optimize the performance of loan products and operations.
• Develop statistical models and scorecards for credit underwriting, loan pricing, collection, and portfolio risk monitoring.
• Collaborate with product managers to optimize marketing campaigns in acquisitions that align with credit policies and scoring models.
• Develop price elasticity models to support risk-adjusted pricing, as well as establish and maintain model governance.
• Monitor performance of quantitative models and support independent model validation efforts in accordance with model governance policy.
• Participate in identification, measurement, and monitoring of credit risk as it relates to Mergers and Acquisitions (M&A), loan purchases and participation, and other new business strategies.
• Utilize credit models and analytics to assist lending with policies and strategies that maximize profits and asset growth while minimizing credit and operating losses and other risk exposures.

Requirements

• Master’s Degree in a quantitative discipline is required; PhD is highly preferred.
• Minimum of ten (10) years of related work experience in building statistical models and advanced data analysis.
• Minimum of two (2) years of direct management experience.
• Applied experience with NPV, Logistic Regression, Linear Regression, Machine Learning, and Survival Analysis.
• Advanced programming skills, including knowledge of statistical programs (e.g., SQL, Python, and R).
• Experience in building risk, revenue, and targeting models for consumer products.
• Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
• Strong data analysis skills, including the ability to understand underlying data and complex loss/balance forecasting models, various product features, organizational and prioritization skills, and strong attention to detail.
• Detail-oriented, results-driven, and able to navigate a quickly changing, high-demand environment to develop solutions while balancing multiple priorities.
• Critical thinking using both analytical and tactical approaches to problem-solving within the Quantitative Modeling team.
• Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations.
• Proven project management skills.
• Excellent oral and written communication skills.
• Experience using AI tools preferred.

Supervisory Responsibility

This position will supervise employees.

Work Environment

The employee is regularly exposed to an indoor office setting with moderate noise. Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds. Ability to travel to various worksites and be on-call is required.

Pay

The anticipated starting salary range for this role is $97,400.00 - $224,184.00. This position is eligible for an organizational performance-based annual bonus (subject to board discretion and approval) and an individual performance-based annual bonus.

Benefits

• Comprehensive health, dental, and vision plans.
• Paid time off.
• Family-friendly benefits, including paid parental leave, care support, and fitness center access.
• Financial wellness support, including a 401(k) match, employee loan discounts, and fully paid life and disability coverage.
• Education assistance for professional growth.
• Community involvement and volunteer opportunities.