Model Risk & IFRS

We are currently looking for Model Risk & IFRS9 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.

Minimum Experience:

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

Analytical – Excellent Analytical skills and attention to detail.

Strong understanding of IFRS9 regulations with previous experience of managing end-to-end IFRS 9 impairment process including ECL calculation and reporting in a business as usual environment.

Designing, development and implementation of IFRS9 and AIRB compliant credit risk models - PD, LGD and EAD.

Experience in developing Application, Behavioural & Collections Scorecards and macroeconomic default models using Linear & Logistic Regression techniques, CHAID segmentation & Custer analysis.

Monitoring and Validation of credit risk models in line with the Basel and other regulatory guidelines;

Extraction and transformation of data from databases using SQL & BO Reports for analysis and reporting;

Ability to understand and communicate clearly and effectively at all levels;
Planning/Organizing and Control
- Prioritizes and plans work activities, uses time efficiently.

Programming skills in: SAS, Python, R, Excel with VBA, SQL

Joining time frame: 2 weeks (maximum 1 month)