Enterprise Model Risk & AI Governance Specialist

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

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