AI Risk Governance | Bank | Contract

Job Description

• Communicate model compliance status and guidance to stakeholders: prepare clear reports/presentations for model owners, senior management, and auditors; coordinate remediation plans and training to address regulatory or audit findings.
• Maintain and update model governance documentation: accurate model inventory, model risk assets and policy documents, ensuring they reflect current regulatory requirements and industry standards.
• Collaborate with Data Science team, Engineering team and Model Risk Management stakeholders to ensure adherence to regulatory requirements, standards, guidelines, and model validation processes, enabling responsible and auditable AI adoption.
• Partner closely with Engineering and Data Science teams to coordinate model development, deployment, monitoring, and platform capabilities, managing dependencies, technical trade-offs, and delivery milestones across the AI/ML lifecycle.
• Manage the full model lifecycle (identification, development, validation, approval, monitoring, retirement) for both ML and GenAI models; maintain model risk documentation for audit/regulator readiness.

Job Qualifications

• Degree in Banking & Finance, Business Administration, Economics, Risk Management or equivalent.
• 2 years in model risk management, validation, or compliance in banking industry.
• Experience in ML models and GenAI models.
• Experience in finance compliance or regulation or any other regulatory field, especially guidance into bank policies and controls, and lead enterprise model risk compliance and governance.
• Excellent analytical and problem-solving skills with the ability to assess model risks, identify control gaps, and recommend remediation actions.
• Excellent written and verbal communication skills, with experience preparing management reports, governance papers, presentations, and audit documentation.
• Relevant certifications (e.g. PMP, FRM, PRM, CRISC, or NIST AI RMF practitioner) are a plus.