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.

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AI Risk Governance & Compliance Manager | Bank | Contract