AI Risk & Governance Lead

AI Risk & Governance Lead

Requirements

• 10+ years of experience in AI, ML, Generative AI, Model Risk Management (MRM), and Model Review & Oversight (MRO).
• 7+ years of experience in the banking and financial industry, with a deep understanding of financial regulations.
• 3+ years of experience in Internal Audit, Risk Management, or Regulatory Issues Management.
• Prior experience analyzing and implementing NIST Risk Management Framework (RMF) for AI.
• Deep knowledge of AI/ML governance, explainability, bias mitigation, and responsible AI frameworks.
• Familiarity with financial regulatory requirements related to AI/ML (e.g., OCC, SEC, FINRA, GDPR, Basel, FFIEC).
• Strong understanding of AI security, encryption, data privacy laws, and risk controls.

Responsibilities

• Develop, implement, and manage governance frameworks, policies, and standards for AI/ML and Generative AI models.
• Ensure compliance with NIST Risk Management Framework (RMF) for AI, along with industry best practices and regulatory requirements.
• Identify, assess, and mitigate risks associated with AI/ML model lifecycle, bias detection, explainability, and ethical AI practices.
• Monitor and interpret evolving AI-related regulatory requirements, including OCC, SEC, FINRA, GDPR, and AI governance standards.
• Collaborate with Internal Audit, Compliance, and Risk Management teams to address regulatory issues and ensure adherence to financial regulations.
• Manage and oversee AI model validation, ensuring compliance with Model Risk Management (MRM) and Model Review & Oversight (MRO) guidelines.
• Establish and monitor risk controls, ethical AI frameworks, and responsible AI practices across the organization.
• Lead risk assessments for AI/ML models, including bias detection, adversarial robustness, and AI security controls.
• Define governance policies for AI model deployment, monitoring, and accountability in banking applications.

Preferred Qualifications

No preferred qualifications provided.