Model Risk Manager

Key responsibilities: Perform independent validations and reviews of models related to credit, fraud, BSA/AML, finance, and operational risk Evaluate model methodologies, assumptions, and performance through various testing methods, including outcomes analysis and sensitivity testing Document validation findings clearly and maintain a comprehensive model inventory, including risk ratings and monitoring requirementsRequired qualifications 5+ years of experience in model validation, development, or quantitative risk analytics within banking or fintech Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field; a Master's degree or PhD is preferred Strong knowledge of model risk management principles and regulatory expectations Proficiency in SQL and Python for data analytics Experience validating or developing models in areas such as BSA/AML, fraud, and credit underwriting