Credit Risk Modeling & Analysis Mastery

This specialization provides a comprehensive pathway to mastering credit risk modeling from theory to practical application. Learners will explore key concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing to advanced frameworks like the Altman Z-Score and Merton’s Model. Through sector-specific and real-world case studies, participants will learn to assess financial statements, assign credit ratings, and build robust risk models aligned with banking and regulatory standards. Designed for finance professionals and analysts, this specialization bridges data-driven analysis with decision-making proficiency in corporate and institutional credit risk

• Apply advanced credit risk modeling techniques including PD, LGD, and EL
• Analyze corporate financial data to assess creditworthiness
• Build and validate credit risk models aligned with banking regulations

• Basic computer and internet skills
• Ability to read course instructions in English and complete practice activities