Credit Risk Modeling

This comprehensive course equips learners with the knowledge and practical tools to analyze, evaluate, and apply key credit risk modeling techniques used in modern financial institutions. Through a blend of theoretical frameworks and real-world case studies, learners will explore foundational concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing into structural models like Merton’s approach and market-based credit assessment methods. Participants will also construct and interpret Altman Z-scores to assess bankruptcy risk, and apply credit rating principles to real-world scenarios including airline industry case studies. The course further delves into corporate credit evaluation using internal financial metrics, unhedged foreign currency exposure (UFCE), and working capital analysis, concluding with internal rating systems and lender “ways out” strategies. Designed for aspiring risk analysts, finance professionals, and advanced students, this course combines instructional rigor with practical relevance, enabling learners to build, differentiate, and justify credit decisions with confidence

• Apply key credit risk modeling techniques used in modern financial institutions
• Analyze concepts of Probability of Default and Expected Loss
• Build and interpret bankruptcy risk scores using advanced models

• Prior knowledge of finance or accounting ideal for advanced students and professionals seeking applied credit risk skills in real-world contexts