Case Studies and Solutions
Uses econometrics and machine learning models to determine the risk of default that may arise from a borrower failing to make required payments. Optimal credit risk models allows lending institutes to maximize returns while minimizing risk
Potential Applications: Loan Approvals
Fraud Detection and prevention is a collection of machine learning techniques designed to identify, monitor, and prevent fraud. There are many different ways of committing fraud including stolen credit cards, identity theft, phishing, chargebacks, etc. Machine Learning algorithms can allow early detection and prevention of fraudulent behavior in online institutions.
Potential Applications: Identity Theft, Chargebacks, Credit Card Frauds, Chargebacks