Model Risk & IFRS9

About the Role
We are currently looking for a Model Risk & IFRS9 professional for our UAE operations. This role demands a highly technical, data-driven expert 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 modeling 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 the availability, accuracy, and traceability of data used in Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models, including default tagging, post-default events, recovery tracking, and exposure computation.

Key Responsibilities

• Demonstrate excellent analytical skills and attention to detail.
• Maintain a strong understanding of IFRS9 regulations with previous 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, Behavioural & Collections Scorecards, and macroeconomic default models using Linear & Logistic Regression techniques, CHAID segmentation & 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; Plan and organize work activities and use time efficiently.
• Utilize programming skills in SAS, Python, R, Excel with VBA, and SQL.

Minimum Experience

• 5 years of experience in Risk & Financial services, Quantitative Modelling.

Terms and Conditions

• Joining time frame: 2 weeks (maximum 1 month)