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Head of Risk Architecture and Data Management

Unlock employer Abu Dhabi, United Arab Emirates Direct to Company Posted: 27 Aug 2026

Financial

  • Estimate: $120k - $160k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The Head of Risk Architecture and Data Management is a senior managerial position within Group Risk Management, reporting directly to the Head of Enterprise Risk Management Group. This strategic role provides technical leadership and project management support for implementing rating models and scorecards within the Enterprise Risk Management framework. The successful candidate will be expected to demonstrate independent thinking, strong communication skills, and initiative while interacting with all stakeholders across the company.

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Key Responsibilities:

  • Data Management Framework: Implement a comprehensive framework for managing risk data, including data capture, organization, storage, and analysis for developing, validating, and implementing risk rating models and scorecards.
  • Data Science Expertise: Lead the implementation of policies and systems designed for effective data management for modeling purposes.
  • Project Management: Act as a leader in project management, preparing detailed plans, managing resources, tracking projects, and providing regular updates to key stakeholders.
  • SCRUM Master: Utilize AGILE methodologies to manage complex projects, solve problems, and coach team members.
  • Risk Management & Analysis: Oversee the implementation of risk rating models ensuring compliance with IFRS 9 and Basel requirements while leading the team in various risk analytics and validation tasks.

Specialist Skills / Technical Knowledge Required:

  • 10-15 years of relevant experience in Risk Management with a minimum of 5 years in a managerial role focusing on Basel, IFRS9, Risk Architecture, and Credit Modeling.
  • A degree in a quantitative discipline (Mathematics, Computer Science, Statistics, Finance, Accounting, etc.) from a reputable university.
  • Proficiency with statistical software (SAS, Python, R) and a strong understanding of banking operations and financial markets.
  • Excellent communication skills in English, both oral and written.
  • Strong leadership, negotiation, and conflict resolution skills.

This position requires a team player who can deliver under pressure and inspire commitment within the team while handling diverse needs effectively.

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