Director, Model Risk & Validation (Hybrid)

PenFed Credit Union; McLean (VA); Hybride; USD 97 000 - 216 000; Plein temps

Avantages offerts par ce poste

Health, dental, vision plans

401(k) match

Education assistance

Parental leave

Résumé du poste

PenFed Credit Union, located in Tysons, Virginia, seeks a Director of Model Risk Management to lead the model validation program for consumer banking and fraud risk management. Hybrid work arrangement in Tysons, with responsibility for validation, monitoring, and governance of models across retail lending and mortgage portfolios.

The ideal candidate will have 7+ years in quantitative modeling with leadership experience, strong regulatory knowledge, and Python proficiency.

Qualifications

• Bachelor's degree in Finance, Economics, Mathematics or Statistics.
• Advanced degree (Master's or Ph.D.) in a quantitative field preferred.
• Minimum of seven (7) years of experience in quantitative modeling, consumer credit risk management, consumer acquisition, fraud risk management, or model risk management within a financial institution.
• Minimum of three (3) years must be in a direct management or supervisory leadership role.
• Proven experience overseeing the creation, adjustment, validation, testing, monitoring, and documentation of advanced machine learning techniques.
• Strong familiarity with Bureau credit data, large database management, and advanced machine learning models, with the capability to evaluate and challenge work products built using open‑source programming tools (e.g., Python).
• Deep understanding of regulatory lending compliance standards and industry model risk frameworks (e.g. SR 26-2, SR 11-7).
• Prior experience operating successfully within a formal governance or second‑line risk management framework.
• Demonstrated experience working directly with regulatory bodies and managing model validation audit processes.
• Exceptional communication skills, with a proven ability to translate complex, highly technical subject matter into strategic, presentation‑quality insights for senior management.
• Experience using AI tools preferred.

Responsabilités

• Lead and oversee the model validation function, providing independent review and effective challenge of models used for credit and fraud risk management across retail lending and mortgage portfolios.
• Contribute to the development and governance standards for consumer banking models in use at PenFed, leading to more optimal use of models and increased confidence in model outcomes.
• Provide clear and insightful analysis, feedback, and critique of models by way of written and/or oral reports to business units and senior management.
• Perform and lead independent validation of models in use at PenFed, including pre‑implementation validations, change reviews, and ongoing monitoring, providing effective challenge to model design, methodology, data, outcomes and performance.
• Maintain effective relationships and communication channels with model users, owners, and governance partners.
• Continually improve and enhance quantitative modeling approaches and methodologies, including agentic AI and advanced machine learning, to promote alignment with industry best practices.
• Provide senior leadership to the department by maintaining awareness of evolving market trends which could impact the efficacy of modeling efforts, and remaining abreast of regulatory developments impacting PenFed's model risk management profile.

Connaissances

Quantitative modeling

Model risk management

Leadership

Python

Regulatory knowledge

Communication

Fraud risk management

Formation

Bachelor's degree in Finance/Economics/Math/Statistics

Advanced degree in quantitative field (Masters/PhD)

Outils

Python

SQL

Description du poste

PenFed Credit Union, located in Tysons, Virginia, seeks a Director of Model Risk Management to lead the model validation program for consumer banking and fraud risk management. Hybrid work arrangement in Tysons, with responsibility for validation, monitoring, and governance of models across retail lending and mortgage portfolios.

The ideal candidate will have 7+ years in quantitative modeling with leadership experience, strong regulatory knowledge, and Python proficiency.