Credit Risk Modeling & Application in Banks

This course provides a structured and practical introduction to credit risk modeling with a focus on its application in banking and financial institutions. Designed for learners seeking to analyze, calculate, and evaluate core credit risk components, the course begins by establishing a conceptual foundation for credit risk and its growing importance post-financial crises. Through real-world examples and step-by-step breakdowns, learners will gain a strong grasp of key modeling inputs such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). They will also learn how to compute expected loss, differentiate between settlement and pre-settlement risk, and assess the practical challenges that arise due to model assumptions and data limitations. By the end of the course, learners will be equipped to interpret and apply credit risk metrics, support risk-based decision-making, and align modeling outputs with capital adequacy and regulatory requirements in a financial services context

• Analyze and calculate core credit risk components
• Establish conceptual foundation for credit risk modeling
• Understand practical challenges in model application and data limitations

• Basic finance and math knowledge; ideal for learners aiming to understand and apply credit risk models in banking and financial services