Built a credit risk model for JPMorgan Chase Quantitative Research Task 3. Used logistic regression in Python (scikit-learn) to predict the probability of default (PD) for 10,000 loan borrowers. Split the data 80/20 for training and testing, then calculated expected loss per loan using the formula: PD × Loan Amount × 0.90, assuming a 10% recovery rate.