7 – Applying Network Analytics in KYC

• Erik Bijl, Data Scientist, Rabobank
• Salomon Tetelepta, Data Scientist, Rabobank
Session type: Lightning Talk

Abstract: As Rabobank, we are striving to apply existing risk assessment with insights from network analytics. As a first step, we launched a project aiming at detection of clients participating in money laundering schemes. This project will be the main topic of our presentation. In this project, the central question was how to determine whether a client is actively participating in money laundering by using network analytics. The network was captured by extracting network features. These features were a result of running a variety of graph queries and Algorithms on top of our graph model. In this presentation, we will discuss how we build up the graph data model, how we apply graph queries, and which algorithms can be run on these graphs. Sharing our lessons learned, we hope to give you valuable insights on this topic.