Credit Risk Modeling Professionals

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Deloitte provides industry-leading Audit & Assurance, Tax & Legal, Strategy, Risk & Transactions, and Technology & Transformation services to nearly 90% of the Fortune Global 500® and thousands of private companies. With more than 470,000 professionals worldwide, we work together every day to make an impact that matters — delivering measurable and lasting results that help reinforce public trust in capital markets, enable our clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society, and a more sustainable world.


Building on its more than 180 years of history, Deloitte spans more than 150 countries and territories. Our organization has grown significantly in both scale and capabilities; however, our shared culture and mission — to make an impact that matters — remains unchanged. This commitment is evident not only in our work for clients, but also in our WorldClass ambition, our WorldClimate initiative, and our ALL IN diversity and inclusion strategy.


Here’s your chance to gain hands-on business experience among top-talent professionals in their fields and to build a strong network of colleagues and friends. Get ready to meet people who will challenge your perspective, broaden your horizons, and help you learn about business from a truly global point of view.


In line with our growth strategy, Deloitte Türkiye is looking for a Credit Risk Model Auditor to join our growing Financial Risk Advisory team. In this role, you will contribute to high-profile engagements across the financial industry, focusing on IFRS 9 Expected Credit Loss (ECL) models, model governance, and regulatory expectations within the Audit & Assurance Department with the following qualifications:


  • Bachelor’s degree in Economics, Statistics, Mathematics, Engineering or a related field
  • 1-3 years of relevant experience in one or more of the following:
    • IFRS 9 modelling / validation / audit
    • Credit risk modelling (PD/LGD/EAD)
    • Model governance or risk management in financial institutions


  • Hands-on experience with SQL and/or SAS/Python/R
  • Strong command of MS Office applications
  • Strong interest in financial risk, regulatory frameworks, and data analysis
  • Familiarity with financial modeling, risk quantification, and auditing is a plus
  • Excellent command of English & Turkish; both written and oral
  • Understands expectations and demonstrates personal accountability for keeping performance on track
  • Analytical and structured thinking, strong problem-solving skills
  • Builds relationships and communicates effectively in order to positively influence peers and other stakeholders

Job Description:


  • Perform IFRS 9 model audits covering PD, LGD, EAD and staging methodologies
  • Assess model design, data quality, assumptions, segmentation, macroeconomic models, overlays and post-model adjustments
  • Evaluate model performance, backtesting practices, and monitoring frameworks
  • Review compliance with BRSA, IFRS 9, Basel III/IV, EBA, ECB and internal governance requirements
  • Identify model risks and provide practical, value-adding recommendations
  • Prepare high-quality data analysis, audit documentation and deliverables
  • Collaborate with clients, model development teams, validation units, risk management, internal audit, and senior management
  • Develop expertise in financial risk management, quantitative modeling, and regulatory compliance within a dynamic and supportive team environment

Aday Kriterleri

Tecrübe
Tecrübeli / Tecrübesiz
Eğitim Seviyesi
Üniversite(Mezun)
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Deloitte
Bilişim, Denetim Hizmetleri, Danışmanlık, Avukatlık ve Hukuki Danışmanlık , Finans ve Yatırım Danışmanlığı 1000 - 1499 Çalışan 53034 Takipçi

At Deloitte, we make an impact that matters. For over 175 years, we have worked with leaders around the world—from the Global 500® to private businesses—to help them build better futures.

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Deloitte
Bilişim, Denetim Hizmetleri, Danışmanlık, Avukatlık ve Hukuki Danışmanlık , Finans ve Yatırım Danışmanlığı
closingDate:16.09.2026 lastPublishDate:18.08.2026