Build a practical foundation in credit risk modeling and learn how banks and financial institutions measure, interpret, and evaluate credit risk. Designed for learners interested in banking and financial services, this course introduces the concepts, calculations, and challenges that support risk-based decision-making.

You’ll explore the purpose and structure of credit risk frameworks and examine why credit risk has become increasingly important following financial crises. Through step-by-step explanations and real-world examples, you’ll analyze Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). You’ll calculate expected credit loss, distinguish between settlement and pre-settlement risk, and evaluate how model assumptions and data limitations affect risk assessments. The course also connects modeling outputs with capital adequacy and regulatory requirements, helping you understand their role in institutional risk management. Its focused progression from foundational concepts to quantitative estimation and practical evaluation makes complex risk metrics easier to apply. Enroll to build the knowledge needed to interpret credit risk measures, assess model limitations, and evaluate credit risk models in real-world banking contexts.