We are currently looking for Manager – IFRS 9 Risk Data & Model Implementation for our UAE operations
Role Purpose:
This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.
As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.
Key Responsibilities:
1. ETL & Risk Data Engineering
- Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS
- Support datasets for default identification, post-default events, recovery, and exposure
- Implement incremental and full-load strategies ensuring no duplication or leakage
- Optimize SQL for large-scale distributed processing environments
- Integrate data from core banking, collections, GSAM, and external sources
2. IFRS9 & Credit Risk Data Management
- Translating IFRS9 methodology into technical data pipelines
- Support PD, LGD, EAD model data preparation
- Implement staging (Stage 1/2/3), default, and curing logic
- Handle recoveries, write-offs, restructures, and exposure calculations
3. Model Implementation & Validation Support
- Provision model-ready datasets for deployment
- Support feature engineering, segmentation, and backtesting datasets
- Perform reconciliation with developed/reference outputs and identify mismatches
4. Data Quality & Governance
- Develop DQ frameworks covering completeness, accuracy, and consistency
- Perform root cause analysis on data issues
- Ensure full data lineage and traceability
5. Risk Technology & System Integration
- Collaborate with IT for system integration and model deployment
- Support risk system migration and upgrades
- Perform testing for data migration and model accuracy
6. Automation & Reporting
- Automate regulatory and internal reporting processes
- Prepare datasets for dashboards and regulatory submissions
- Support reporting tools such as Power BI and BusinessObjects
Preferred Tools & Technologies:
SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO
Core Domain Expertise:
IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle
Terms and conditions
Joining time frame: Immediate