As you may know, money laundering and fraud is kind of a thing – and a bad one at that. Over the years, fraudsters and money launderers got more sophisticated in hiding their money transfers.
They started to transfer money over various accounts in different countries and jurisdictions, among other things, to hide their transactions. These chains of transactions are tricky to identify with traditional methods, especially in the big network of financial transactions that happen every day.
In this lunch break session, Jackson Reimers demonstrates the multi-model graph capabilities within ArangoDB to identify the patterns and catch some bad guys!
If you want to learn more about fraud detection with ArangoDB, you can check out our Fraud Detection White Paper, or access Jackson’s fraud detection demo yourself by signing up for a free ArangoDB Oasis account.
About the Presenter:
Jackson graduated from the University of Pittsburgh with a degree in Finance in 2015. He went on to work in finance and eventually for the House of Representatives running the credit card program for all members and their staff. While working, Jackson went to night school to obtain his MBA from John Hopkins in 2020. Post graduation, Jackson decided to switch from finance to sales and join the high-tech industry.