Lead the bank-wide independent model validation and model governance framework across all models used for risk, finance, compliance, and business decisioning. Ensure robust validation, effective model lifecycle governance, and proactive management of model risk in line with CBUAE Model Management Standards and global best practices.
What You Will Do
Independent Model Validation
Lead validation across risk, finance, business and compliance models
Ensure risk-based validation coverage based on materiality and complexity
Assess: methodology, data, assumptions, performance, implementation, and documentation
Oversee back-testing, benchmarking, and ongoing monitoring
Enterprise Model Governance
Own end-to-end model governance framework and lifecycle
Maintain model inventory, tiering, and ownership structure
Define and maintain Model Management policy and standards for each phase of model development, validation, implementation, usage and monitoring
Oversee model changes, limitations, exceptions, and third-party models
Model Risk Appetite and Model Risk Management
Define and implement model risk appetite and thresholds
Monitor model risk exposures and ensure timely remediation
Track validation findings and escalate material issues
Embed model risk within enterprise risk management
Management and Board Committee Governance
Lead engagement with Model Management and Board Model committees
Present validation outcomes, key risks, and approval recommendations
Ensure decisions are documented, justified, and tracked
Regulatory Compliance and External Benchmarking
Ensure compliance with CBUAE MMSG and related regulations
Align framework with global best practices (e.g., risk-based model risk management)
Support audit and regulatory reviews
AI / ML Model Validation and Emerging Analytics
Establish validation standards for AI/ML models
Assess explainability, bias, stability, and model drift
Ensure appropriate governance for complex models
Define monitoring and challenger model framework
Stakeholder Management and Advisory
Partner with Risk, Finance, Compliance, IT, and Business teams
Provide independent challenge and advisory on model design and usage
Ensure timely closure of validation findings
Team Leadership
Lead and develop a high-performing validation and governance team
Build capabilities across quantitative validation, governance, and AI/ML
What We You Will Bring
Master’s (or higher) in quantitative discipline (Economics, Statistics, Maths, Data Science, Finance, Engineering)
12–15 years in model validation / model risk management
Experience across risk, finance, and compliance models
Strong exposure to CBUAE regulations (MMSG)
Experience with model governance frameworks and committees
Hands-on experience with AI/ML model validation
Regulatory / Governance
Deep knowledge of CBUAE Model Management Standards & Guidance
Familiarity with UAE banking regulations and global model risk frameworks
Quantitative / Validation
Strong expertise in validation techniques, model performance testing, and monitoring
Coverage across credit risk, IFRS9, stress testing, AML/fraud, and forecasting models
Understanding of AI/ML validation challenges and controls
Leadership Competencies
Strong executive presence and independent challenge
Ability to translate technical outputs for senior stakeholders
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