About the Role / About the Job
We are currently seeking a Model Risk & IFRS9 professional for our UAE operations. This position requires a highly technical, data-driven expert with robust knowledge in ETL pipeline development, credit risk data management, and support for IFRS9 models. The role entails leading the design, implementation, and governance of comprehensive risk data pipelines to ensure compliance with regulatory and modelling standards. As part of the Enterprise Risk Management (ERM) - Risk Function, the Risk Data Management team plays a crucial role in fulfilling CBUAE, IFRS9, and Basel II/III requirements. The individual will be responsible for ensuring the availability, accuracy, and traceability of data utilized 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.
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Minimum Experience
- At least 5 years of experience in Risk & Financial services, with a focus on Quantitative Modelling.
Key Responsibilities
- Possess excellent analytical skills and attention to detail.
- Demonstrate 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 such as PD, LGD, and EAD.
- Experience in developing Application, Behavioural & Collections Scorecards and macroeconomic default models using Linear & Logistic Regression techniques, CHAID segmentation & Cluster analysis.
- Conduct monitoring and validation of credit risk models in accordance with Basel and other regulatory guidelines.
- Execute extraction and transformation of data from databases using SQL & Business Objects (BO) Reports for analysis and reporting.
- Communicate effectively and clearly at all levels of the organization.
- Prioritize and plan work activities efficiently, utilizing time effectively.
- Proficient in programming languages such as SAS, Python, R, Excel with VBA, and SQL.
Terms and Conditions
- Joining time frame: 2 weeks (maximum 1 month).
