OverviewPenFed 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.
ResponsibilitiesReasonable 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.
QualificationsEquivalent combination of education and experience is considered.
- 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 ResponsibilityThis position will supervise employees.
Licenses and CertificationsThere are no additional certifications required.
Work EnvironmentWhile 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.*
TravelTravel 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.
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