Advanced Analytics for Fraud Detection


Fraud detection and operational risk management are two main challenges faced by banks and financial institutions worldwide. They use several technological tools to analyse their data and detect fraudulent patterns and protect their assets. Most of these tools are rule-based and rely on human input. This project aims to enhance the product provided by NetGuardians SA to include a scientifically-backed component for fraud detection which is based on machine learning

Collaboration: NetGuardians SA