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Head of Risk Architecture and Data Management

Job in Abu Dhabi, UAE/Dubai
Listing for: ADIB - Abu Dhabi Islamic Bank
Full Time position
Listed on 2026-05-21
Job specializations:
  • IT/Tech
    IT Project Manager, Data Analyst, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Role

Head of Risk Architecture and Data Management

Location

Abu Dhabi

Role Purpose
  • This is a Senior Manager role within Group Risk Management and reports directly to Head of Enterprise Risk Management Group.
  • Head Risk Architecture and Data Management role supports a strategic function within Group Risk Management and provides the technical leadership and project management support in implementing rating models and scorecards within Enterprise Risk Management Group.
  • The role requires independent thinking, strong communication, initiative, interaction with all stakeholders within the bank.
  • The role is intended to provide advanced quantitative analytics support to the overall Risk Management function and implement the Group Risk Management Data Management Framework.
  • The role requires advanced data science and technical analysis skills, deep knowledge of Basel II & III, leading and managing the IFRS9 project initiative in the bank. Leading and engaging in Risk and Information technology projects including the risk applications architecture, risk management and analytics, data science, Scrum master, Project Management and process optimization.
  • In addition to above, Head Risk Architecture and Data Management role is required to guide and lead project-based team for specialized projects within Enterprise Risk Management Group and requires in-depth knowledge of risk management methodologies and financial risk modelling and project management techniques as well as strong understanding of Basel Accord and Framework.
Key Accountabilities
  • Implement a comprehensive Data Management Framework (DMF) for managing risk data including data capturing, organizing, storing and analyzing for development, validation and implementation of Risk Rating Models and scorecards. Device a rigorous and formal Data Management Framework to support the development and validation of accurate models.
  • Data Science expertise to oversee and lead implementation of policies, procedures and systems designed to organize and structure the management of data employed for modelling. Design data tracking and monitoring tools.
  • Analyze and validate data, ensuring data security.
  • Project Management Leader, well versed in PMP methodologies. Prepare detailed project plans to schedule key project milestones, work streams and activities. Manage resources and teams as well as tracking projects and provide regular reports to key stakeholders.
  • SCRUM Master: provide a framework to develop programs and manage complex projects successfully. Manage timelines, resolving problems and coaching team members on AGILE methodologies.
  • Good quantitative analysis and finance skills. Experience of working with Statistical Software (SAS/Python/R/SPSS).
  • Strong knowledge of Information Technology systems, Risk Management, systems, tools, applications and relational database management system. Software development and coding is a plus.
  • Program Manager with ability to execute plans and meet project objectives as well as the ability to respond and resolve diverse needs of team. Must be detail-oriented and able to multitask.
  • Lead Project Management Office for ERM Risk IT projects implementation and perform vendor and resource management.
  • Ability to understand and clearly relate to other members of the organization with respect to Project Management activities, technology, software and technical specifications.
  • Implement a data management process for systematic identification of data sources, regular and frequent collection. rigorous data quality review and control. secure storage and controlled access and robust system infrastructure.
  • Ensure data quality review and standard checks to assess the data completeness, accuracy, timeliness, uniqueness and traceability.
  • Formulating management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.
  • Implementation of risk rating models and scorecards in Bank's systems ensuring compliance with IFRS 9 and Basel requirements. Provide technical leadership and project management support in implementation of rating models.
  • Report and present project status updates to key stakeholders and Steering Committee of the Bank.…
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