Anti-Money Laundering (AML) , Fraud Management & Cybercrime , Standards, Regulations & Compliance

Leveraging Machine Learning to Fight Money Laundering

Rene Perez on Using Advanced Technologies to Rate Alerts
Rene Perez, financial crimes consultant, Jack Henry & Associates

Machine learning can play a big role in fighting against money laundering, says Rene Perez, financial crimes consultant at Jack Henry and Associates.

See Also: Kaspersky Lab's New Focus on Fraud Prevention

“Many companies are now building back-end systems where they take all the alerts and put a machine learning type of process on top of those and re-rate the alerts,” Perez says.

In in video interview with Information Security Media Group, Perez also discusses:

  • How money mule activities have evolved;
  • New technologies for battling money laundering;
  • How are banks are fighting against fraud tied to money laundering.

Perez is a financial crimes consultant with Jack Henry & Associates who has about 20 years of experience. He previously worked in fraud prevention at a top 60 bank in the U.S.


About the Author

Suparna Goswami

Suparna Goswami

Associate Editor, ISMG

Goswami has more than 10 years of experience in the field of journalism. She has covered a variety of beats including global macro economy, fintech, startups and other business trends. Before joining ISMG, she contributed for Forbes Asia, where she wrote about the Indian startup ecosystem. She has also worked with UK-based International Finance Magazine and leading Indian newspapers, such as DNA and Times of India.




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