We have identified numerous, constantly changing fraud typologies of credit application fraud across the various lines of business (real estate, motor, consumer finance). These complex patterns require a broad band of tools to detect anomalies:
Entity resolution, social network analysis, hybrid detection models consisting of business rules and machine learning, connecting the dots by using internal and external fraud databases, document analysis capabilities, and many more.
We advise you in the identification of improvement areas in your detection model, in setting up a robust fraud process and in all project phases of the implementation of new technology. We will also support you after go-live with continuous updates of your fraud detection rules.