Senior Mechatronik Design Engineer – Halbleiter-Automatisierung (w/m/div.)
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You'll design and implement end-to-end credit risk data pipelines supporting IFRS9 compliance, PD/LGD/EAD modeling, and regulatory requirements for UAE operations. The role requires five years in risk and financial services with expertise in quantitative modeling, SQL, and programming languages like SAS or Python. You'll manage the full IFRS9 impairment process, develop credit risk models including scorecards and macroeconomic models, and validate models against Basel guidelines. Based in UAE.
Written from this posting by Neural Jobs AI. The full description is below.
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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VAM Systems is a Dubai-headquartered business consulting, technology solutions, and professional-services company.
VAM Systems provides software development, cloud, cybersecurity, data, mobile, infrastructure, enterprise applications, and technology staffing to organizations across several international markets.
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