Manager – Risk Model Governance

Manager – Risk Model Governance

Requirements

• Bachelor’s or Master’s degree in a quantitative field such as Finance, Mathematics, Statistics, Data Science, or related disciplines.
• 5+ years of experience in model risk management, model validation, or quantitative risk analysis in fintech, banking, or financial services.
• Strong knowledge of machine learning models, credit risk models, and fraud detection algorithms.
• Hands-on experience with statistical tools and programming languages such as Python, R, SAS, SQL.
• Familiarity with regulatory guidelines related to model risk, such as SR 11-7, OCC guidelines, and Basel regulations.
• Excellent communication and stakeholder management skills.
• Ability to work in a fast-paced fintech environment and manage multiple projects simultaneously.

Responsibilities

• Develop and maintain the Model Risk Management (MRM) framework to ensure compliance with regulatory and industry best practices.
• Conduct model validation and independent testing for credit risk, fraud detection, underwriting, and other financial models.
• Assess model inputs, assumptions, methodologies, and performance to identify potential risks and biases.
• Establish model documentation standards and ensure consistency across different teams.
• Monitor model performance metrics and work with model owners to implement necessary adjustments.
• Collaborate with data scientists, risk teams, and compliance teams to enhance model governance and transparency.
• Stay updated on evolving regulatory guidelines, including SR 11-7, OCC 2011-12, and other FinTech-specific risk standards.
• Communicate model risk findings and recommendations to senior management and stakeholders.
• Support audits and regulatory examinations related to model risk management.

Preferred Qualifications

• Experience in working with large datasets and cloud-based environments (AWS, GCP, or Azure) is a plus.