Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention

Sponsored by

Verafin
  • When: May 2, 2019
  • Time: 12:00 – 1:00 PM ET
  • Level: All

In this insightful session, Brendan Brothers, Co-Founder of Verafin and Anti-Financial Crime Specialist, will discuss the evolution of financial crime and how financial institutions can embrace innovative approaches to proactively prevent fraud and combat crime ring activity.

Industry experts will outline how financial institutions can leverage big data, machine learning technology and 314(b) information sharing for effective fraud prevention, including proactive trend identification, reduction in false positive results, and collaborative investigations of multi-institutional crime ring activity.

Learning Objectives

  • Understand the limitations and challenges of conventional fraud prevention approaches
  • Leveraging big data, machine learning technology, and 314(b) information sharing to mitigate losses and prevent fraud
  • Enhancing detection, strengthening investigations, and improving reporting to law enforcement

Who Should Attend

  • Compliance Personnel
  • General Counsel
  • Industry Consultants

Region/Industries

  • Financial Institutions
  • Fraud Detection
  • Global

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Speaker

Brendan Brothers
  • Brendan Brothers

  • Co-founder, Verafin
  • Anti-Financial Crimes Specialist

Bio

Brendan Brothers is a co-founder of Verafin, the industry’s leading provider of cloud-based financial crime management software with nearly 3000 financial institutions across North America using the platform to help them comply with regulations and fight financial crime. Brendan is a computer engineer with specialized knowledge and deep expertise in advanced analytics. He is widely recognized as an anti-financial crime subject matter expert and is a frequent presenter at industry conferences and events. Brendan is also the principal presenter for Verafin’s thought leadership webinar series on emerging industry topics in the areas of fraud detection, anti-money laundering, high-risk customer management and 314(b) information sharing.