Transaction monitoring is a critical component of successful fraud investigations for banks. Speed and accuracy are the goals for all compliance professionals, but there are a number of ways to achieve these goals. Does real-time monitoring help with speed at the cost of accuracy? AI and machine learning can help reduce manual work, but does it reduce false positives? What are the benefits of automated transaction monitoring? Join us for a discussion of the challenges, practical solutions, and tools available to identify and confirm fraudulent transactions in AML Compliance within banking.
Transaction Monitoring in Banks: A Deep Dive
Demitri Malinski is a Manager in the Consulting practice of Ernst & Young LLP. He has over 17 years of experience in intelligence gathering, analysis, and investigations within Government, Banking, and Private sectors. His core capabilities are in the following areas:
- Fraud, Anti-Bribery and Corruption (ABC), Anti-Money Laundering (AML), Proceeds of Crime (PC), and Terrorism Financing (TF) investigations
- Criminal, civil, and corporate investigations
- Due diligence and risk assessments
- Intelligence gathering and analysis
- Strategy development
- Project management
- Litigation support
Over his career, Demitri participated in high-profile investigations that resulted in significant criminal charges; conducted internal investigations that helped corporations find answers and resolve organizational issues; and assisted clients with risk identification and development of effective mitigation strategies.
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