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Model Risk & IFRS9 VAM Systems · Dubai, ae
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VAM Systems

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Model Risk & IFRS9

🗓️ Posted 2026-09-25 Dubai, ae Full-time Hybrid Banking Financial Services
💰 Salary Not shared 📊 Market AED 20,000–AED 35,000/mo

About the Company

VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia. Delivers leading edge information and communication technology based business solutions to enable our clients to continuously stay ahead and achieve sustainable profit and consistent growth by leveraging new channels of customer engagement and service delivery as well as better and efficient employment of resources and processes with measurable parameters for performance. While our local presence assists us in better understanding of the local needs, our global presence assist us to offer solutions strengthened by experience in leading markets globally. IT Services and IT Consulting Specialties: Cloud Computing, Amazon Web Services (AWS), Mobile Development, iOS Application Development, Android Application Development, Security Solutions- Premises Security & Information Asset Security, Big Data (Hadoop) Solutions, Digital Marketing Solutions

About the Role

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.

Responsibilities

  • ● The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling 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.
  • ● 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.

Requirements

  • ● Minimum 5 years of experience in Risk & Financial services, Quantitative Modelling.
  • ● 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.
  • ● Programming skills in: SAS, Python, R, Excel with VBA, SQL

Benefits

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