Money Laundering Detection and Prevention Training Course

Money Laundering Detection and Prevention Training Course

Introduction

In the modern financial landscape, the threat of money laundering has escalated, becoming a critical concern for regulatory bodies, financial institutions, and governments globally. Money Laundering Detection and Prevention Training Course is tailored to equip professionals with the latest tools, strategies, and compliance techniques required to identify, investigate, and mitigate money laundering activities. With the rise in financial crimes, understanding anti-money laundering (AML) frameworks, regulatory obligations, and risk-based approaches has never been more essential.

This course combines real-world case studies, interactive training modules, and industry best practices to prepare participants to tackle evolving money laundering schemes effectively. Participants will gain in-depth knowledge of AML compliance, transaction monitoring, customer due diligence (CDD), suspicious activity reporting (SAR), and more. The program is designed to serve professionals across multiple industries who are committed to financial integrity, regulatory compliance, and corporate transparency.

Course Objectives

1. Understand global anti-money laundering regulations and legal frameworks.
2. Learn how to conduct Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD).
3. Detect and analyze suspicious transactions using AI-driven monitoring systems.
4. Apply a risk-based approach to AML compliance.
5. Build effective Know Your Customer (KYC) processes.
6. Develop skills for suspicious activity reporting (SAR) and escalation.
7. Navigate crypto asset regulations and risks in money laundering.
8. Prevent trade-based money laundering through supply chain transparency.
9. Integrate fintech and regtech solutions in AML strategies.
10. Conduct internal AML audits and ensure institutional compliance.
11. Explore the role of FATF and international AML bodies.
12. Combat terrorist financing through improved financial intelligence.
13. Improve cross-border transaction scrutiny and sanctions compliance.

Target Audience

1. Compliance Officers
2. Risk Management Professionals
3. Bankers and Financial Analysts
4. Government and Regulatory Officials
5. Legal Advisors and Consultants
6. Auditors and Internal Control Staff
7. Cryptocurrency and Fintech Experts
8. Law Enforcement and Intelligence Officers

Course Duration: 10 days

Course Modules

Module 1: Introduction to Money Laundering

• Definition and history of money laundering
• Stages of money laundering: Placement, Layering, Integration
• Impact on global economies and financial systems
• Key terminology and concepts in AML
• Overview of international efforts and organizations (e.g., FATF, UNODC)
• Case Study: The BCCI Money Laundering Scandal

Module 2: AML Legal & Regulatory Frameworks

• Overview of AML laws (Bank Secrecy Act, PATRIOT Act)
• Role of regulatory bodies (FATF, FinCEN, EU AMLD)
• Compliance with local vs. global AML standards
• Penalties for non-compliance
• Key legislative updates and trends
• Case Study: HSBC and AML violations in the US

Module 3: Know Your Customer (KYC) & CDD

• KYC verification procedures
• Customer risk profiling
• Ongoing CDD vs. Enhanced Due Diligence (EDD)
• Identity verification technologies
• Challenges in onboarding high-risk clients
• Case Study: Wirecard and lack of due diligence

Module 4: Risk-Based AML Compliance Programs

• Risk assessment methodologies
• Designing risk-based control measures
• Evaluating customer, geographic, and product risks
• Integration with enterprise risk management (ERM)
• Monitoring and improving AML risk strategies
• Case Study: Danske Bank’s AML risk failures

Module 5: Suspicious Activity Detection & Reporting

• Identifying red flags in transactions
• Creating effective SARs
• Automation vs. manual monitoring
• Reporting procedures and thresholds
• Communication with Financial Intelligence Units (FIUs)
• Case Study: FinCEN Files investigation

Module 6: AML and Cryptocurrency

• AML risks in digital assets
• Regulatory requirements for crypto exchanges
• Travel Rule and VASPs
• AML tools for blockchain analysis
• Global trends in crypto compliance
• Case Study: BitMEX and crypto laundering charges

Module 7: AML in Banking and Finance

• Sector-specific AML challenges
• Internal controls for banks and financial institutions
• Transaction monitoring systems (TMS)
• AML compliance for correspondent banking
• Outsourcing AML functions
• Case Study: ING’s AML program failures

Module 8: AML in Fintech and Regtech

• AML challenges in fintech startups
• Regtech solutions for compliance automation
• Machine learning in transaction analysis
• Digital identity and e-KYC
• Integrating AML tools in digital banking
• Case Study: Revolut and digital compliance gaps

Module 9: Trade-Based Money Laundering (TBML)

• Definition and mechanics of TBML
• Mis-invoicing and shell companies
• TBML red flags and typologies
• Role of customs and international trade authorities
• Strategies to detect and prevent TBML
• Case Study: TBML in diamond trade

Module 10: Combating Terrorist Financing

• How terrorist financing differs from money laundering
• Typologies and red flags
• Sources and channels of terrorist funding
• Tools for detecting financing of terrorism (CFT)
• Government and NGO partnerships
• Case Study: 9/11 funding investigation

Module 11: AML Audits and Internal Investigations

• Scope and types of AML audits
• Creating AML audit checklists
• Gathering audit evidence
• Reporting and remediation planning
• Regulatory expectations from audits
• Case Study: Deutsche Bank internal AML audit lapses

Module 12: Cross-Border Transactions & Sanctions Compliance

• Risks in international money transfers
• OFAC, EU, and UN sanctions frameworks
• Sanctions screening software
• High-risk jurisdictions and correspondent banking
• Avoiding sanctions circumvention
• Case Study: BNP Paribas and sanctions violations

Module 13: AML Training & Institutional Culture

• Building a culture of compliance
• Continuous AML training programs
• Employee screening and accountability
• Communication of AML policies
• Measuring effectiveness of training
• Case Study: Wells Fargo and internal AML awareness failures

Module 14: Emerging Technologies in AML

• AI and machine learning for AML
• Blockchain and smart contracts for transparency
• Biometric ID in onboarding
• Data analytics for risk detection
• Regtech integration challenges
• Case Study: AI-enhanced monitoring in CitiGroup

Module 15: Final Capstone Case Analysis & Certification

• Applying learned concepts to complex scenarios
• Group discussions on case investigations
• Creating a mock AML compliance plan
• Simulation: SAR reporting and regulatory audit
• Final assessment and certification criteria
• Case Study: Global AML compliance simulation (multi-jurisdictional)

Training Methodology

• Interactive lectures led by industry experts
• Real-life case study analysis to bridge theory and practice
• Hands-on simulations and role-plays for enhanced learning
• Group discussions and breakout rooms for peer collaboration
• Access to online AML toolkits, checklists, and templates
• Continuous assessments, feedback sessions, and certification exam

Register as a group from 3 participants for a Discount

Send us an email: [email protected] or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.