About the Role
We are currently seeking a highly technical, data-driven professional for the Model Risk & IFRS9 position within our UAE operations. This role requires strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The successful candidate will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring they align with regulatory and modeling requirements.
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As part of the ERM – Risk Function, the Risk Data Management team is critical in meeting CBUAE, IFRS9, and Basel II/III requirements. This role is responsible for ensuring the availability, accuracy, and traceability of data used in Probability of Default (PD), Loss Given Default (LGD), and Exposure At Default (EAD) models, which includes default tagging, post-default events, recovery tracking, and exposure computation.
Minimum Experience
- 5 years of experience in Risk & Financial services, Quantitative Modelling.
Key Responsibilities
- Exhibit excellent analytical skills and attention to detail.
- Maintain a strong understanding of IFRS9 regulations with prior experience managing the end-to-end IFRS 9 impairment process, including Expected Credit Loss (ECL) calculation and reporting in a business-as-usual environment.
- Design, develop, and implement IFRS9 and AIRB-compliant credit risk models (PD, LGD, and EAD).
- Develop Application, Behavioral, and Collections Scorecards and macroeconomic default models using techniques such as Linear & Logistic Regression, CHAID segmentation, and Cluster analysis.
- Monitor and validate credit risk models in line with Basel and other regulatory guidelines.
- Extract and transform data from databases using SQL & BO Reports for analysis and reporting.
- Communicate clearly and effectively at all levels; prioritize and plan work activities; and use time efficiently.
- Proficient in programming languages and tools including SAS, Python, R, Excel with VBA, and SQL.
Terms and Conditions
- Joining time frame: 2 weeks (maximum 1 month).
