This module introduces the core principles of credit modeling for banks and financial institutions. It establishes the foundation for assessing borrower risk by combining quantitative financial analysis with qualitative evaluation. Learners explore revenue quality, profitability sustainability, leverage interpretation, and the role of credit ratings. The module also develops the ability to distinguish between accounting earnings and actual cash generation, ensuring a structured approach to credit risk assessment.

This module develops advanced financial statement analysis skills focused on liquidity, solvency, and capital structure. Learners interpret asset quality, liability composition, working capital behavior, and cash flow reliability. Through ratio analysis and financial validation techniques, the module strengthens the ability to assess repayment risk using leverage metrics, coverage ratios, and trend evaluation. Emphasis is placed on linking accounting figures to real liquidity outcomes.

This module applies credit modeling techniques to real-world case studies and forward-looking credit performance estimation. Learners project future cash flows, evaluate leverage sustainability, conduct stress testing, and analyze repayment sensitivity under adverse scenarios. The focus shifts from historical analysis to predictive credit risk modeling, enabling learners to form structured credit opinions supported by financial evidence.