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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

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