Model Risk & AI Governance Compliance Specialist | Contract

Job scopes

• Lead enterprise model risk compliance and governance activities in alignment with regulatory standards and bank policies.
• Interpret regulatory guidance and translate it into practical model governance controls and procedures.
• Ensure adherence to applicable regulations, frameworks, and standards (e.g., model risk management principles, AI governance guidelines).
• Manage the end-to-end model lifecycle, including identification, development, validation, approval, monitoring, and retirement.
• Maintain a comprehensive and accurate model inventory and model risk documentation for audit and regulatory readiness.
• Ensure documentation reflects current regulatory requirements and industry standards.
• Prepare clear, concise reports and presentations on model compliance status for model owners, senior management, and auditors.
• Communicate risks, issues, and remediation plans effectively to both technical and non-technical stakeholders.
• Coordinate remediation efforts and training programs to address regulatory or audit findings.
• Partner with Data Science and Engineering teams to ensure models meet governance, validation, and compliance requirements.
• Coordinate model development, deployment, and monitoring activities, managing dependencies and delivery milestones across the AI/ML lifecycle.
• Support the establishment and enhancement of model governance frameworks for both ML and GenAI initiatives.
• Ensure responsible and auditable AI adoption across the organization.
• Work closely with technical teams to manage model risk associated with ML and GenAI models, including transparency, explainability, and monitoring.

Job Qualifications

• Bachelor’s degree in computer science or any related field
• Minimum 2 years of experience in finance compliance, regulatory roles, model risk management, or related fields within the banking industry.
• Experience working with bank policies, controls, and regulatory frameworks.
• Familiarity with machine learning models and GenAI models.
• Excellent communication skills with the ability to produce high-quality reports and presentations.
• Experience collaborating with cross-functional teams (Data Science, Engineering, Risk, Compliance).
• Certifications such as:
  • PMP (Project Management Professional)
  • FRM (Financial Risk Manager)
  • PRM (Professional Risk Manager)
  • CRISC (Certified in Risk and Information Systems Control)
  • NIST AI RMF Practitioner or similar AI governance credentials
• Exposure to model validation, model monitoring, or AI governance frameworks.
• Knowledge of regulatory expectations for model risk (e.g., banking supervisory guidelines, AI risk frameworks).