Online finical service vendors will most likely face a challenge to detect malicious behaviors quick enough, then disable accounts and/or users associated with the malicious behaviors.
To achieve this goal, they need to collect user behavior data and apply online machine learning based algorithms to classify accounts at risk.
We introduce a simple real time fraud detection system. It implements a naive rule engine based on Flink’s Streaming API. Code can be located here.