Unit Head – Enterprise Model Risk

Title: Unit Head – Enterprise Model Risk

Department: Risk

Job Overview

To design, implement, and oversee the enterprise-wide Model Risk Management (MRM) framework, ensuring independent validation and governance across the full model lifecycle. The role covers all models in use across the bank — credit, market, liquidity, financial crime, treasury, finance, and business decisioning — ensuring conceptual soundness, regulatory compliance, and effective risk oversight.

Key Responsibilities

• Develop, maintain, and govern the enterprise-wide model risk framework, including model inventory, tiering, lifecycle controls, and policy implementation.
• Lead independent model validation across all model classes, covering conceptual soundness, data quality, benchmarking, back testing, and performance monitoring.
• Ensure full coverage of models across:
• Credit & provisioning (scorecards, PD/LGD/EAD, IFRS 9 ECL staging).
• Market & liquidity (VaR, IRRBB, LCR/NSFR, stress models, FTP).
• Financial crime (AML, sanctions screening, fraud detection).
• Business & decisioning (pricing, propensity, collections, operational models).
• Finance & capital (stress testing, capital planning, RWA, forecasting).
• Oversee digital/AI model governance, ensuring explainability, fairness, bias monitoring, and drift control for ML-based models.
• Align with regulatory and capital requirements (IFRS 9, Basel, SBP guidelines) and ensure compliance in reporting and validation.
• Present model risk findings, remediation, and governance updates to Board-level committees (BRC/ERMC), translating technical issues into actionable decisions.
• Build and lead an independent validation team, ensuring effective challenge and independence from first-line model developers.

Experience Required

10+ years of relevant experience in model development or validation across multiple risk types, with senior banking/risk leadership exposure.

Educational Background Required

Advanced degree in Statistics, Econometrics, Financial Engineering, Data Science, or related quantitative discipline. Professional certifications such as FRM, PRM, CFA are an advantage.

Skills & Competencies

• Strong expertise in enterprise model risk governance and lifecycle management.
• Hands-on experience in independent model validation across credit, market, liquidity, financial crime, and capital models.
• Quantitative depth in statistics, econometrics, and machine learning.
• Familiarity with SBP model-risk governance, IFRS 9, Basel frameworks.
• Ability to manage digital/AI model governance, including explainability and fairness.
• Proven leadership and stakeholder management skills, with Board-level communication experience.

Raqami is committed to building a diverse, equitable, and inclusive workplace. We welcome applications from qualified candidates of all backgrounds and are dedicated to providing equal employment opportunities for all.

Last date to apply: September 06, 2026