Simulated credit rating migration and capital requirement analysis using Markov models under Basel III stress scenarios.
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Updated
Dec 8, 2025 - Jupyter Notebook
Simulated credit rating migration and capital requirement analysis using Markov models under Basel III stress scenarios.
Implements the Basel III credit risk framework (PD, LGD, EAD) using Logistic & Linear Regression on Lending Club loan data (2007–2014)
Completed as part of the 365 Data Science Credit Risk Modeling in Python Udemy course. Developed an end-to-end credit risk modeling pipeline for consumer lending, covering data preprocessing, feature engineering, Probability of Default , Loss Given Default , Exposure at Default , scorecard development, model validation, population stability
IFRS 9 expected credit loss engine on 1.35M real loans: PD, LGD, EAD, three-stage staging, and probability-weighted macroeconomic scenarios
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