Senior Data Science Manager — NPV/CLTV Modeling

PenFed Credit Union; McLean (VA); Hybrid; USD 97,000 - 224,000; Full time

Benefits offered by this job

Health plan

Dental plan

Vision plan

Paid time off

Parental leave

Care support

Fitness center

401(k) match

Employee loans

Life insurance

Disability coverage

Education assistance

Community involvement

Volunteer opportunities

Job summary

PenFed Credit Union in Tysons, Virginia, is seeking a Sr Data Science Manager (Hybrid) to lead the NPV modeling function within the Decision Science team. You will oversee data scientists developing NPV models for Consumer Banking products and CLTV modeling to optimize member profitability.

You will partner with Finance, Product Strategy, Credit Risk, and Pricing to validate assumptions, monitor model performance, and support strategic decisions in a fast-paced environment.

Qualifications

• Master's degree in quantitative discipline required.
• Minimum of ten years building statistical models and advanced data analysis.
• Minimum of two years direct management experience.

Responsibilities

• Provide leadership and management in developing, implementing programs, policies, and procedures.
• Collaborate with stakeholders to align with business goals.
• Use statistical methodologies to solve business challenges.
• Develop acquisition pricing and credit underwriting models to support lending decisions.
• Develop scorecards for credit underwriting, loan pricing, collection, and portfolio risk monitoring.
• Collaborate with product managers to optimize campaigns based on credit policies.

Skills

Leadership

Stakeholder collaboration

Project management

Analytical thinking

Education

Master's degree in quantitative discipline

PhD preferred

Tools

SQL

Python

R

Job description

PenFed Credit Union in Tysons, Virginia, is seeking a Sr Data Science Manager (Hybrid) to lead the NPV modeling function within the Decision Science team. You will oversee data scientists developing NPV models for Consumer Banking products and CLTV modeling to optimize member profitability.

You will partner with Finance, Product Strategy, Credit Risk, and Pricing to validate assumptions, monitor model performance, and support strategic decisions in a fast-paced environment.