Money Laundering Phenomenon - AML Fundamentals Banking Dynamics and Digital Economy Expansion

Stok Kodu:
9786255948168
Baskı:
1
Basım Tarihi:
2025
Kapak Türü:
İnce Kapak
Dili:
İngilizce
%25 indirimli
210,00TL
157,50TL
Taksitli fiyat: 1 x 157,50TL
Tedarikçi Stoğu 2 Adet
9786255948168
839458
Money Laundering Phenomenon - AML Fundamentals Banking Dynamics and Digital Economy Expansion
Money Laundering Phenomenon - AML Fundamentals Banking Dynamics and Digital Economy Expansion
157.50

Money laundering disguises illicit funds as legitimate wealth,fuellingcrime 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 Expansionexplores 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 coversfew updates of new EU Package of laws andRegulations 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.

(Tanıtım Bülteninden)

Money laundering disguises illicit funds as legitimate wealth,fuellingcrime 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 Expansionexplores 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 coversfew updates of new EU Package of laws andRegulations 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.

(Tanıtım Bülteninden)

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