Course Outline:

Module 1: Introduction to Advanced Money Laundering Techniques

• Overview of complex money laundering schemes
• Case studies of sophisticated laundering operations
• Methods used to launder money through banking systems

Module 2: Red Flag Indicators and Warning Signs

• Identifying unusual transactions and behaviors
• Industry-specific red flags
• Practical exercises on recognizing red flags

Module 3: Advanced Transaction Monitoring Systems

• Designing and implementing effective transaction monitoring systems
• Key features of advanced monitoring software
• Case studies on the use of monitoring systems in detecting AML activities

Module 4: Data Analytics and Machine Learning in AML

• Introduction to data analytics in AML
• Machine learning techniques for detecting suspicious patterns
• Practical applications and case studies

Module 5: Emerging Threats and Trends in Money Laundering

• New methods and technologies used by money launderers
• Regulatory responses to emerging threats
• Group discussions and future trend analysis