Financial Crime Prevention: Anti-Money Laundering (AML) and Counter-Financing of Terrorism (CFT)

Banking, Insurance and Financial Services October 25, 2025
Enquire About This Course

Introduction

This comprehensive course provides thorough coverage of financial crime prevention frameworks, focusing on anti-money laundering and counter-financing of terrorism regulations and practices. Participants will learn to identify money laundering typologies, implement effective AML/CFT controls, and navigate the complex regulatory landscape governing financial crime prevention. The curriculum covers customer due diligence, transaction monitoring, suspicious activity reporting, and the role of technology in detecting and preventing financial crimes. Through real-world case studies and practical exercises, learners will develop the expertise to protect financial institutions from being used for illicit activities while ensuring regulatory compliance.

Objectives

Upon completion of this course, participants will be able to:

  • Identify money laundering and terrorist financing typologies
  • Implement effective customer due diligence processes
  • Conduct transaction monitoring and suspicious activity analysis
  • Navigate global AML/CFT regulatory requirements
  • Develop risk-based AML/CFT frameworks
  • Prepare and file suspicious activity reports
  • Utilize technology for financial crime detection
  • Conduct AML/CFT risk assessments
  • Manage regulatory examinations and audits

Target Audience

  • AML/CFT Compliance Officers
  • Risk Management Professionals
  • Banking Operations Staff
  • Financial Crime Investigators
  • Regulatory Affairs Professionals
  • Internal Auditors
  • Legal and Compliance Staff
  • Financial Services Professionals

Methodology

  • Money laundering case studies
  • Transaction monitoring simulations
  • SAR filing exercises
  • Risk assessment workshops
  • Regulatory compliance scenarios
  • Technology implementation cases

Personal Impact

  • Enhanced financial crime detection skills
  • Improved regulatory knowledge
  • Stronger analytical capabilities
  • Better risk assessment abilities
  • Enhanced compliance expertise

Organizational Impact

  • Reduced regulatory penalties
  • Enhanced reputation protection
  • Improved risk management
  • Better regulatory relationships
  • Increased operational efficiency

Course Outline

Unit 1: AML/CFT Fundamentals

Basic Concepts
  • Money laundering process stages
  • Terrorist financing mechanisms
  • Global AML/CFT standards overview
  • Regulatory framework components

Unit 2: Customer Due Diligence

CDD Processes
  • Customer identification program requirements
  • Enhanced due diligence for high-risk customers
  • Beneficial ownership identification
  • Ongoing customer monitoring
Risk Assessment
  • Customer risk rating methodologies
  • Geographic risk considerations
  • Product risk assessment
  • Channel risk evaluation

Unit 3: Transaction Monitoring

Monitoring Systems
  • Transaction monitoring rule development
  • Alert investigation processes
  • False positive reduction strategies
  • Scenario-based monitoring approaches
Detection Methods
  • Pattern recognition techniques
  • Behavioral analysis applications
  • Network analysis methods
  • Anomaly detection systems

Unit 4: Suspicious Activity Reporting

SAR Processes
  • Suspicious activity identification
  • SAR filing requirements and timelines
  • Information sharing protocols
  • Regulatory reporting standards
Investigation Techniques
  • Transaction pattern analysis
  • Customer behavior assessment
  • Documentation requirements
  • Case management best practices

Unit 5: Risk-Based Approach

Framework Development
  • Risk assessment methodologies
  • Control implementation strategies
  • Resource allocation optimization
  • Risk appetite statement development
Program Elements
  • Policies and procedures development
  • Training program implementation
  • Independent testing requirements
  • Management oversight frameworks

Unit 6: Technology Solutions

System Implementation
  • AML software selection criteria
  • System integration considerations
  • Data quality management
  • Model validation requirements
Advanced Technologies
  • Artificial intelligence applications
  • Machine learning algorithms
  • Blockchain analysis tools
  • Predictive analytics implementation

Unit 7: Regulatory Compliance

Global Standards
  • FATF recommendations implementation
  • Local regulatory requirements
  • Cross-border compliance challenges
  • Regulatory examination preparation

Ready to Learn More?

Have questions about this course? Get in touch with our training consultants.

Submit Your Enquiry