Money laundering disguises illicit funds as legitimate wealth, fuelling crime and economic instability. As financial systems evolve spanning traditional banking, fintech, and digital assets so do financial crime risks. AML Fundamentals, Banking Dynamics, and Digital Economy Expansion explores these complexities, equipping readers to detect, prevent, and combat financial crime. This edition expands its scope to include Anti-Bribery and Corruption frameworks, Machine Learning in AML Alerts, Digital Economy Expansion and AML/CTF.
Leveraging principles of risk-based approach and behavioural analytics, we advocate for a holistic approach to AML/CFT alert management that prioritizes high-risk transactions while minimizing false positives. We examine the integration of machine learning with human analysis, offering insights into enhancing AML alert efficiency and reducing false positives. The book covers few updates of new EU Package of laws and Regulations on AML.
Designed for compliance officers, bankers, policymakers, and academics, this book provides essential knowledge to navigate evolving financial crime threats and regulatory landscapes, fostering a more resilient financial ecosystem.