AI Audit & Regulatory Analyst
Roger BhardeUnited StatesSENIORPosted 5h ago
AI GovernanceAI AuditModel Risk ManagementRegulatory Risk & ComplianceAI/MLGenerative AILLMsSQLPythonRAWSAzureGoogle Cloud
About the Role
We are seeking an experienced AI Audit & Regulatory Analyst to support enterprise AI governance, regulatory compliance, model risk management, and audit initiatives within the financial services industry.
Key Responsibilities
• Assess AI/ML solutions against governance policies and regulatory requirements
• Evaluate model bias, fairness, explainability, privacy, accuracy, and model drift
• Conduct independent AI model reviews and risk assessments
• Review model lifecycle, validation, deployment, and monitoring controls
• Develop audit reports, control matrices, risk assessments, and remediation plans
• Maintain audit evidence, risk registers, and compliance documentation
• Collaborate with AI/ML, Compliance, Legal, Cybersecurity, and Internal Audit teams
• Present audit findings and recommendations to senior leadership
Requirements
• 12+ years of overall professional experience
• Hands-on experience in AI Governance, AI Audit, Model Risk Management (MRM), or Regulatory Risk & Compliance
• Strong understanding of AI/ML, Generative AI, LLMs, and automated decision-making systems
• Experience with AI model risk assessments, validation, governance controls, and regulatory requirements
• Experience conducting internal audits, IT audits, regulatory audits, and risk assessments
• Knowledge of banking regulations and financial services compliance
• Experience with control testing, audit documentation, gap assessments, and remediation tracking
• Strong stakeholder management and executive communication skills
• At least ONE mandatory certification: CISA, CRISC, CIA, CRCM, or AIGP
• Banking / Financial Services experience
• Knowledge of Federal Reserve SR 11-7, OCC Model Risk Guidance, NIST AI RMF, ISO 42001, and ISO 23894
• Familiarity with GLBA, data privacy, consumer protection, and fair lending regulations
• SQL, Python, or R
• Exposure to AWS, Azure, or Google Cloud AI/ML environments
• Experience with Responsible AI, bias detection, and model explainability