Resources for Fraud Detection/Prevention

I've recently joined a small startup, and my role is focused on fraud prevention. I have a few years of DS experience and was hired based on my statistics/data knowledge, but I'm realizing that I should learn more about the non-technical aspects of fraud. I'd especially love to learn more about the intersection of ML models and what I might call fraud "operations"; for example, any case studies of what might happen once a fraud model has flagged something.

**Does …

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