How to Build a Fraud Detection Model

When we build a model, it usually takes a long time. One of the principles is measure. And I like to think and set up three different types of goals for these kind of projects. So in terms of fraud, it could be chargebacks. Number two is usage. How many people are using it? What are the data science KPIs? Yeah, this definitely also ties to credit risk, fraud detection and plenty of other use cases.