Model Risk And IFRS9

VAM Systems Inc.

Dubai

On-site

AED 280,000 - 420,000

Full time

8 days ago

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Job summary

VAM Systems Inc. in Dubai is seeking an experienced Model Risk & IFRS9 professional to join our UAE operations.

The role emphasizes designing, implementing, and governance of end-to-end risk data pipelines, with focus on IFRS9 impairment, ECL calculation, and regulatory reporting in BAU environments. Within the ERM – Risk Function, you will ensure data availability, accuracy, and traceability for PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and

Qualifications

  • Minimum 5 years of experience in Risk & Financial services, Quantitative Modelling.
  • Strong understanding of IFRS9 regulations with experience managing end-to-end IFRS 9 impairment process including ECL calculation and reporting in BAU.
  • Experience in designing, development and implementation of IFRS9 and AIRB compliant credit risk models – PD, LGD and EAD.

Responsibilities

  • Analytical – Excellent Analytical skills and attention to detail.
  • 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 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

Skills

Analytical
IFRS9 regulations
IFRS9 impairment process
ECL calculation
PD/LGD/EAD models
Regression techniques
Monitoring & validation
Communication
Data extraction

Tools

SQL
BO Reports
SAS
Python
R
Excel VBA

Job description

Job Description:

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

Terms and conditions

Joining time frame: 2 weeks (maximum 1 month)

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