End-to-End IFRS 9 PD Model development by Cohort Model.
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Updated
Jun 2, 2026 - Jupyter Notebook
End-to-End IFRS 9 PD Model development by Cohort Model.
A collection of applied Debt Finance and Credit Risk modelling projects
Credit Risk Probability of Default (PD) modelling using Logistic Regression and Random Forest with risk bucket segmentation and threshold optimization.
Consumer credit risk, PD scorecard (logistic regression + WOE/IV) on Home Credit data, with discrimination, calibration and population-stability validation, ongoing monitoring, and model governance. Includes an EAD analysis reframed as a documented data-quality finding.
Excel-based credit risk portfolio model using Monte Carlo simulation to estimate Expected Loss and VaR (95%, 99%) for multiple firms.
Portfolio of projects
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