Model Risk & AI Governance Compliance Specialist | Contract

Manpower Staffing Services (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Manpower Staffing Services (Singapore) Pte Ltd is seeking a capable professional to lead enterprise model risk compliance and governance, aligning with regulatory standards and bank policies. You will interpret guidance and translate it into practical controls across the ML lifecycle in a banking environment.

The role involves maintaining model inventory and documentation for audit readiness, producing clear reports for senior management and auditors, and coordinating with Data Science and

Qualifications

• Bachelor's degree in computer science or related field.
• Minimum 2 years of experience in finance compliance, regulatory roles, model risk management, or related fields within banking.

Responsibilities

• 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.
• Maintain a comprehensive and accurate model inventory and model risk documentation for audit and regulatory readiness.
• Prepare clear, concise reports and presentations on model compliance status for model owners, senior management, and auditors.
• 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.

Skills

Regulatory compliance

Model risk management

AI governance

Communication

Cross-functional collaboration

Education

Bachelor's degree in computer science or related field

Job description

• 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
• Knowledge of regulatory expectations for model risk (e.g., banking supervisory guidelines, AI risk frameworks).