Protecting the Integrity, Veracity and Lineage of your Data to Ensure Accurate Risk Detection

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  • When: November 17, 2017
  • Time: 11:00 AM – 12:00 PM ET
  • Level: All

Anti-money laundering (AML) detection continues to evolve at a record pace. While new technologies increase opportunities for risk detection, they also bring new challenges. Ingesting clean data into your money laundering detection system and maintaining the integrity of that data are the key to improving detection accuracy and ensuring operational efficiency. Hygienic data will also allow organizations to adopt new AML detection capabilities with more speed now and in the future.

Learning Objectives

  • Understanding how to accurately ingest date for optimal data integrity and lineage
  • Creating a robust and flexible data integration architecture
  • Process guidelines in order to maintain data veracity
  • Review three important AML detection innovations in 2018

Who Should Attend

  • Compliance Personnel
  • Technology Officers
  • Industry Consultants


  • Banking
  • Technology
  • Regulatory Agencies

Watch Here


Andrew Davies
  • Andrew Davies

  • Vice President, Global Market Strategy, Financial Crime Risk Management
  • Fiserv


Andrew Davies is vice president of global market strategy for the Financial Crime Risk Management business line at Fiserv. In this role, he works with Fiserv customers around the world to design and deploy effective risk management solutions to mitigate financial crime risks with particular focus on compliance, money laundering and fraud. He is also responsible for seeking new markets and applications for the company’s financial crime detection and prevention solutions.

Davies joined Fiserv in 2007 through the acquisition of NetEconomy. He has worked in the software industry for more than 20 years supporting many of the world’s largest financial institutions, both private and public. Davies’ experience covers real-time payments, front-office trading, risk mitigation of financial crime risk, settlement risk and more.

Davies previously worked for Logica and Nomura, the Japanese bank, in London prior to moving to the U.S. He worked on many diverse programs including secure U.K. government projects, distribution systems, trading systems, derivatives pricing projects, and SWIFT connectivity for payment systems. Since moving to the U.S., he has concentrated on financial crime detection systems and has worked with a variety of institutions to deploy such systems including the Federal Reserve Bank of New York, the Continuous Linked Settlement Bank, ABN AMRO, Manulife Financial, RBS Citizens Bank, Deutsche Bank and the Bank of Tokyo-Mitsubishi.

Davies studied pure mathematics and computer science at the University of Wales. He is a Certified Anti-Money Laundering Specialist and has worked with customers in the Americas, Europe and Asia. He is a respected industry speaker and author having presented at SIBOS and ABA events and has contributed to articles in the American Banker and Credit Union Journal, among other publications