Sr Data Science Manager, NPV Modeling

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

Benefits offered by this job

Health, dental, vision plans

Paid time off

Parental leave

401(k) match

Life and disability coverage

Education assistance

Job summary

PenFed Credit Union in Tysons, VA (Hybrid) seeks a Sr Data Science Manager, NPV Modeling to lead the NPV modeling function within the Decision Science department. You will manage a team of data scientists to build NPV models for auto, personal loans, credit cards, and deposits, and develop CLTV modeling to drive profitability.

The role partners with Finance, Product Strategy, Credit Risk, Pricing, and governance teams to ensure robust model performance and timely updates, with strong emphasis on

Qualifications

• Master's Degree in quantitative discipline required; PhD preferred.
• 10+ years of experience in statistical modeling and data analysis.
• 2+ years of direct management experience.
• Experience with NPV, Logistic Regression, Linear Regression, ML, and Survival Analysis.
• Proficient in SQL, Python, and R.
• Experience building risk, revenue and targeting models for consumer products.
• Ability to manage multiple projects and adapt quickly.
• Strong data analysis, loss/balance forecasting, and attention to detail.

Responsibilities

• Provide leadership in developing programs, policies, and procedures.
• Collaborate with stakeholders to align with strategic goals.
• Apply statistical methods to solve business challenges.
• Develop acquisition pricing and credit underwriting models for lending decisions.
• Create models and scorecards for underwriting, pricing, collection, and risk monitoring.
• Collaborate with product managers to optimize marketing campaigns.
• Develop price elasticity models and maintain model governance.
• Monitor model performance and support validation efforts.

Skills

NPV modeling

Logistic regression

Linear regression

Survival analysis

Machine learning

Model governance

Project management

Communication

Stakeholder collaboration

Leadership

Education

Master's degree in quantitative discipline

PhD preferred

Tools

SQL

Python

R

Job description

Job Overview

PenFed is hiring a (Hybrid) Sr Data Science Manager, NPV Modeling at our Tysons, Virginia location. This role leads the NPV modeling function within the Decision Science department. 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. This role is also responsible for building out Customer Life Time 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

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.

• 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 up agenda, which aligns with overall business strategic goal.
• 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 the credit policies and scoring models.
• Develop price elasticity models to support risk adjusted pricing, as well as subsequently establish and maintain model governance.
• Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy.
• Participate in identification, measurement, and monitoring of credit risk as it relates to Merger and Acquisition (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 and minimizes credit and operating losses as well as other risk exposures.

Qualifications

• Master's Degree in 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 required.
• Applied experience with NPV, Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required.
• Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required.
• Experience in building risk, revenue and targeting models for consumer products is required.
• Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
• Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail.
• Detail oriented, results driven, and the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities.
• Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required.
• 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 required.
• Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There Are No Additional Certifications Required.

Work Environment

While performing the duties of this job, 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.

Travel

Travel is not required.

Pay Transparency

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. This position is eligible for an individual performance based annual bonus.

Benefits

At PenFed, we offer a robust benefits package designed to support you both personally and professionally. You'll have access to comprehensive health, dental, and vision plans; paid time off; and family-friendly benefits like paid parental leave, care support, and fitness center access. Financial wellness is encouraged through features like a 401(k) match, employee loan discounts, and fully paid life and disability coverage. We also support growth via education assistance, community involvement, and volunteer opportunities.

Our Purpose

Helping members achieve their dreams since 1935. Pentagon Federal Credit Union (PenFed) is one of America's largest federal credit unions, serving 2.8 million members worldwide with $29 billion in assets. PenFed offers market-leading certificates, checking and savings, credit cards, personal loans, mortgages, auto loans, and a wide range of other financial services, always with members' interests in mind. PenFed is federally insured by the NCUA and is an Equal Housing Lender. Berkshire Hathaway HomeServices PenFed Realty, LLC is a full-service real estate company ready to assist our clients with buying, selling and renting a home. The company is a wholly owned subsidiary of PenFed Credit Union and is the largest independently-owned brokerage in the Berkshire Hathaway HomeServices network, placing us in the top 1% of all real estate brokerages in the country. With almost 60 offices and nearly 2,000 world-class sales professionals, we offer complete service coverage in Virginia, Maryland, the District of Columbia, Delaware, Pennsylvania, West Virginia, Florida, Tennessee, Kansas and Texas. In addition, we also offer specialized client services which include management of vacation properties and long-term rentals, corporate relocation services and national referral network.

Equal Employment Opportunity

PenFed management will maintain and observe personnel policies which will not discriminate or permit harassment or retaliation against a person because of race, color, creed, age, sex, gender, gender identity, gender expression, religion, national origin, ancestry, marital status, military or veteran status or obligation, the presence of a physical and/or mental disability or medical condition, genetic information, sexual orientation, and all statuses protected by applicable state or local law in all recruiting, hiring, training, compensation, overtime, position classifications, work assignments, facilities, promotions, transfers, employee treatment, and in all other terms and conditions of employment. PenFed will also prohibit retaliation against individuals for raising a complaint of discrimination or harassment or participating in an investigation of same. PenFed will also reasonably accommodate qualified individuals with a disability so that they can apply for a job or perform the essential functions of a job unless doing so causes a direct threat to these individuals or others in the workplace and the threat cannot be eliminated by reasonable accommodation or if the accommodation creates an undue hardship to PenFed. Contact human resources (HR) with any questions or requests for accommodation at [e-mail] .