Abu Dhabi Islamic Bank
Manager - Risk Data Management
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
Job overview
Date posted
05/05/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED Undisclosed per month
Experience
5 - 10 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
19/06/2025
Job description
This position at a major financial institution in Abu Dhabi focuses on the end-to-end management of risk data, supporting the development and implementation of credit risk models and scorecards. The Manager - Risk Data Management will handle data analytics, AI integration, and risk architecture projects while ensuring compliance with regulatory frameworks like IFRS 9 and Basel. The role requires advanced technical skills, including expertise in programming, statistical modeling, and machine learning, combined with strong communication and project leadership capabilities. This is a strategic role that supports enterprise-wide risk management and innovation in the financial sector.
Required skills
Key responsibilities
- Manage and maintain risk data for model implementation and scorecard development
- Ensure data adequacy, accuracy, and compliance with regulatory frameworks (IFRS 9, Basel)
- Collaborate with IT and external vendors for risk architecture and application implementation
- Apply AI and machine learning techniques for risk data analysis and pattern recognition
- Support model development teams with data analytics and segmentation
- Monitor and ensure data quality through standard checks and validations
- Implement data tracking, monitoring tools, and ensure data security
- Troubleshoot data-related issues and authorize data maintenance actions
- Develop and manage reports for senior management and regulators
- Lead projects, manage stakeholders, and oversee project timelines and budgets
- Promote best practices in risk data handling and technology implementation
- Support the Head of Enterprise Risk Management Group with additional tasks as required
Experience & skills
- Minimum 5+ years of experience in risk data management or data science within banking
- Bachelorās degree in Computer Science, Engineering, or related field; Masterās preferred
- Strong experience with IFRS 9, Basel II/III, and credit risk models
- Proficiency in SAS, Python, R, SQL, and BI tools like Power BI and SAP BusinessObjects
- Experience with statistical modeling and AI methods such as classification, regression, clustering
- Familiarity with credit scoring systems and alternative data sources
- Knowledge of risk management systems and relational databases
- Strong project management and communication skills
- Ability to work under pressure and manage multiple tasks independently
- Excellent English proficiency and stakeholder engagement capabilities
