Level

RAKBANK

Vice President-Model Validation

AI in this role

Role Purpose

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
  • Strong governance mindset and attention to detail
  • Stakeholder management and delivery focus

How we rate this

Vice President-Model Validation at RAKBANK rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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