Machine Learning Techniques for Fraud Analytics, Part 1 ThreatMetrix

Fraud analytics is an endless game of cat and mouse, but machine learning just might be the tool to help fraud professionals win this game. In the financial services world, fraudsters must be faster and smarter than the slowest bank to be "quids in". And a bank must be better than the fraudster to avoid being a victim. Analytics and data science play a pivotal role in this. However, a troubling issue that banks often face is the bridge between the data scientist and the fraud analyst: one really understands statistics while the other understands fraud.