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2 дня назад

Model Risk & IFRS9 (Credit Risk)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Model Risk & IFRS9 (Credit Risk) (IFRS9/Credit Risk): Designing and governing end-to-end risk data pipelines and supporting credit risk models for PD, LGD, and EAD with an accent on IFRS9 impairment, ECL calculation, regulatory alignment, and data traceability. Focus on developing scorecards and macroeconomic default models, validating models against Basel guidelines, and transforming risk data with SQL and reporting tools.

Location: Dubai, United Arab Emirates

Company

hirify.global is hiring for its UAE operations within the Information Technology department.

What you will do

  • Design, implement, and govern end-to-end risk data pipelines aligned with regulatory and modelling requirements.
  • Manage data supporting PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.
  • Support the end-to-end IFRS9 impairment process, including ECL calculation and reporting in a business-as-usual environment.
  • Develop IFRS9- and AIRB-compliant credit risk models, application, behavioural, and collections scorecards, and macroeconomic default models.
  • Monitor and validate credit risk models according to Basel and other regulatory guidelines.
  • Extract and transform database data for analysis and reporting using SQL and BO Reports.

Requirements

  • Minimum 5 years of experience in risk and financial services or quantitative modelling.
  • Strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support.
  • Strong understanding of IFRS9 regulations and experience managing the end-to-end IFRS9 impairment process.
  • Experience developing PD, LGD, and EAD models compliant with IFRS9 and AIRB requirements.
  • Experience with application, behavioural, and collections scorecards and macroeconomic default models using linear and logistic regression, CHAID segmentation, and cluster analysis.
  • Experience monitoring and validating credit risk models in line with Basel and other regulatory guidelines.
  • Programming skills in SAS, Python, R, Excel with VBA, and SQL.
  • Excellent analytical skills, attention to detail, and the ability to communicate clearly and effectively at all levels.
  • Strong planning, organizing, and control skills, including prioritizing work and using time efficiently.

Culture & Benefits

  • Full-time position within the ERM Risk Function and Risk Data Management team.
  • Joining timeframe: within 2 weeks, with a maximum of 1 month.

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