Strengthening Compliance with Effective AML Analytics, Algorithms, Machine Learning and Data Science

Sponsored by

NICE Actimize
  • When: March 29, 2017
  • Time: 12:00 PM – 2:00 PM ET
  • Level: Intermediate – Advanced

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. Panelists will discuss how to utilize analytics, algorithms and machine learning to achieve continuous, enhanced transaction monitoring, KYC and other AML activities.

Learning Objectives

  • Deploying data mining to strengthen risk-based oversight functions and transaction monitoring
  • Applying analytics and algorithms to detect financial crime patterns and assist red flag investigations
  • Utilizing machine learning and data science to pinpoint money laundering typologies and identify typology specific risks

Who Should Attend

  • Compliance Officers
  • Risk Managers
  • On-boarding Managers
  • MSB Managers
  • Relationship Managers


  • Global
  • Bank


ACAMS Members Non-Members
$245 $445
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Carl Case
  • Carl Case

  • Senior Manager, Performance Improvement
  • Ernst & Young


Marc Maramag
  • Marc Maramag, CAMS

  • Vice President
  • Deutsche Bank

  • Richard Xiques, CAMS

  • Senior Vice President, Model Scoring Analysis Manager
  • Citi