This guidebook provides a short introduction to the topic of fraud and anomaly detection in the financial services sector, walking through the core aspects. Plus, for those already familiar, the guide includes some code and practical examples for execution.
A broader overview of the role of anomaly detection in banking (beyond fraud) and ways to integrate the process into existing workflows
Code samples for a simple machine learning-based fraud detection model, along with ways to customize and improve it
Use case examples from innovative banking organizations