Big Data and Information Sharing to Fight Crime: Global Perspectives & Domestic Case Studies

Sponsored by

Verafin
  • When: November 21, 2019
  • Time: 12PM – 1PM ET
  • Level: All

With the growing complexities of today’s fraud and AML landscape, financial institutions must embrace innovative approaches such as information sharing and big data to effectively fight crime. This insightful webinar will examine global initiatives for collaboration, outline lessons learned, current approaches, and a vision for the future of financial crime detection.

Learning Objectives:

  • Examining public-private and private-private information sharing frameworks from around the globe.
  • Reviewing case studies of 314(b) information sharing initiatives and consortium investigations to combat connected criminal activity that spans multiple financial institutions.
  • Leveraging cross-institutional big data, artificial intelligence, and information sharing technology to build a better model for financial crime detection.

Who Should Attend

  • Compliance Personnel
  • Risk Assessment Managers
  • AFC/CTF Specialists
  • Relationship Managers
  • Legal Advisers
  • Industry Consultants

Region/Industry

  • Global
  • Banking
  • Regulatory/Law Enforcement
  • Legal

Register for this Webinar

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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.