#MyFirstFeedPost Halo, Binance Square!

A Feature Engineering Case Study in Consistency and Fraud Detection

Main Takeaways

As the world’s largest crypto exchange, it’s crucial we have a risk detection system that is fast yet doesn’t compromise on accuracy.

The challenge we encountered was ensuring our models always used up-to-date information, especially when detecting suspicious account activity in real-time.

To achieve stronger feature consistency and greater production speed, we now make reasonable assumptions about our data and combine our batch and streaming pipelines.