Model Risk & IFRS9

SmartRecruiters, Inc.; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

SmartRecruiters, Inc. seeks a technically proficient Risk Data Manager for its UAE operations focused on Model Risk & IFRS9. The role involves leading end-to-end data pipelines, IFRS9 impairment support, and governance to meet regulatory requirements for PD, LGD, and EAD models.

You will design and implement risk models, develop scorecards, and ensure data accuracy and traceability. A strong scripting background in SAS, Python, R, SQL is essential, with 5+ years of quantitative risk exp in

Qualifications

• 5+ years of experience in Risk & Financial services, Quantitative Modelling.
• Strong understanding of IFRS9 regulations with experience in end-to-end IFRS 9 impairment processes including ECL calculation.
• 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.
• Monitoring and Validation of credit risk models in line with Basel and other regulatory guidelines.
• Extraction and transformation of data from databases using SQL & BO Reports for analysis and reporting.
• Programming skills in SAS, Python, R, Excel with VBA, SQL.

Responsibilities

• 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 & Cluster 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

Job description

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.

Key Responsibilities:

• 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