Director of Model Validation
About the role
We are seeking a Director of Model Validation to lead the Model Risk Management function at First Electronic Bank (FEB). This role will be responsible for overseeing the validation of models used to underwrite various lending products, including small business loans, credit cards, and personal unsecured installment loans and lines of credit.
Responsibilities
- Own and manage the Bank Strategic Partner Model Risk Management function, including Model Governance policies and procedures.
- Continuously enhance processes and controls to ensure compliance with regulatory requirements.
- Mentor, develop and lead a team of Model Validation Analysts and Managers responsible for validation credit risk, fraud detection, and behavioral credit models across our Fintech partnerships.
- Oversee and maintain the internal model inventory for the Strategic Partner products.
- Lead and improve loan portfolio performance monitoring processes using data feeds and visualization tools such as PowerBI.
- Collaborate with external data science and modeling teams, providing guidance on model development and ensuring thorough documentation and adherence to Model Risk Management standards.
- Partner with Compliance to define and strengthen standards that ensure fair lending practices and regulatory compliance.
- Serve as primary point of contact during regulatory exams (FDIC, UDFI) for model risk management activities.
- Work with external vendors and legal counsel to validate modeling techniques and align with industry best practices.
- Participate in Bank Committees and Advisory Groups to provide strategic input on model risk initiatives.
Requirements
Advanced degree in a quantitative field or equivalent practical experience in data science, statistical modeling, or quantitative analysis. 5+ years of experience in regulated banking or financial services industry. 3+ years of direct people management experience in a quantitative discipline. Strong knowledge of regulatory requirements for model risk management (SR 11-7). Experience participating in, or leading, supervised regulatory exams. Proven experience developing and validating statistical and machine learning models for credit risk. Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. Experience presenting to executive leadership and supporting strategic committees. Adaptable, collaborative mindset—ready to thrive in a fast-paced growing organization. Proficiency in programming languages such as Python, R, SAS, or SQL a plus.