Instructor:
Joe Soniat
Product ID: 705143
Why Should You Attend:
The rapid advances in technology and reliance on transaction monitoring have emphasized the importance of deploying AML analytics, algorithms, machine learning and data science to detect patterns across data sets and improve program effectiveness. Learning and making predictions from data using these methods helps compliance professionals understand transaction behavior, analyze false-positive alerts to learn common predicators and manage financial crime risks. In this webinar, the instructor will discuss how to utilize analytics, algorithms and machine learning to achieve continuous, enhanced transaction monitoring, KYC and other AML activities.
Areas Covered in the Webinar:
Who Will Benefit:
Robert J. Soniat (Joe) is the BSA officer for Union Bankshares Corporation, located in Richmond, Virginia. He also worked as a finance officer for the United States Government from 2002 – 2004. He holds a Bachelor’s of Science in Accounting from Virginia Commonwealth University as well as minors in criminal justice and international relations.
Mr. Soniat is a Certified Anti Money Laundering Specialist (CAMS) with an advance certification in Financial Crimes Investigations (FCI). He is also a Certified Fraud Examiner as well as a Certified Anti Money Laundering and Fraud Specialist (CAFP). He is on the BSA Coalition Advisory Board as well as the ACAMS Virginia Chapter Board.
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