Senior Model Risk Manager - AI/ML

Responsibilities

• Maintain and enhance the company’s model governance framework, including documentation and validation standards
• Perform independent validation across AI/ML models, covering methodology and risks
• Serve as a trusted advisor throughout the AI/ML lifecycle, providing guidance on governance
• Evaluate new AI use cases for regulatory implications and governance requirements
• Develop AI-enabled automation tools to enhance model governance workflows

Qualifications

• Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics)
• With 6-10 years of AI/ML experience, ideally in fintech
• Strong technical foundation in Python, SQL, and modern ML tools like scikit-learn and XGBoost
• Experience evaluating machine learning models and generative AI systems, including custom evaluations and frameworks
• Solid understanding of model risk governance principles and regulatory expectations (e.g. SR 11-7 / OCC 2011-12)
• Ability to synthesize complex technical and business information to inform decision-making

Benefits

• Comprehensive total rewards package including base salary and equity options
• Commitment to developing a competitive salary range based on industry standards
• Strong emphasis on professional growth and innovation within a fast-moving environment

Pay

• $200,700 – $250,900 annually

Schedule

• Remote - US based candidates only, no visa sponsorship available