VP, Model Validation & Governance

RAKBANK; Dubai; On-site; AED 850,000 - 1,100,000; Full time

Job summary

RAKBANK in the United Arab Emirates seeks a senior leader to head bank-wide independent model validation and governance, covering risk, finance, compliance, and business decisioning. You will ensure robust validation processes and proactive model risk management in line with CBUAE standards and global best practices.

You will build and lead a high-performing team, manage model inventories and lifecycle, engage with risk and audit stakeholders, and implement AI/ML validation standards to address

Qualifications

• Master’s (or higher) in quantitative discipline (Economics, Statistics, Maths, Data Science, Finance, Engineering).
• 12–15 years in model validation and model risk management.
• Experience across risk, finance, and compliance models.
• Strong knowledge of UAE regulations (CBUAE MMSG) and global model risk frameworks.
• Experience with AI/ML model validation and governance.

Responsibilities

• Lead validation across risk, finance, business and compliance models.
• Oversee back-testing, benchmarking, and ongoing monitoring.
• Own end-to-end model governance framework and lifecycle.
• Define and maintain Model Management policy and standards.
• Engage with Model Management and Board committees to present findings.
• Ensure compliance with CBUAE MMSG and related regulations.
• Establish validation standards for AI/ML models and monitor drift.

Skills

Model validation

Model risk management

AI/ML validation

Stakeholder management

Executive communication

Education

Master’s degree or higher in quantitative discipline

Job description

RAKBANK in the United Arab Emirates seeks a senior leader to head bank-wide independent model validation and governance, covering risk, finance, compliance, and business decisioning. You will ensure robust validation processes and proactive model risk management in line with CBUAE standards and global best practices.

You will build and lead a high-performing team, manage model inventories and lifecycle, engage with risk and audit stakeholders, and implement AI/ML validation standards to address