Description
Program Overview
This intensive masterclass provides cutting-edge techniques for detecting, investigating, and reporting suspicious transactions in banking, fintech, and crypto sectors. Combining AI-driven monitoring, behavioral analytics, and regulatory best practices, this program equips AML/CFT/CPF professionals with advanced skills to combat modern financial crime threats.
Key Learning Objectives
By the end of this masterclass, participants will:
✔ Master red flag detection for complex laundering typologies (e.g., layering, smurfing, trade-based laundering)
✔ Implement AI/ML transaction monitoring systems with reduced false positives
✔ Apply network analysis tools to uncover hidden relationships
✔ Navigate global STR/SAR filing requirements (FinCEN, FIU, AUSTRAC)
✔ Conduct crypto transaction forensics (blockchain analytics)
✔ Optimize risk-based alert triage processes
Agenda
Day 1: Advanced Detection Methodologies
Module 1: Evolving Laundering Techniques
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Emerging risks in DeFi, NFTs, and cross-border payments
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Case study: The “Silk Road” vs. modern darknet markets
Module 2: AI-Powered Monitoring Systems
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Machine learning models for anomaly detection
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Tuning parameters to minimize false alerts
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Vendor comparison (NICE Actimize, SAS, Oracle)
Workshop: Building Custom Detection Scenarios
Day 2: Investigation & Reporting
Module 3: Forensic Transaction Analysis
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Funds tracing through correspondent banking networks
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Identifying shell companies and nominee structures
Module 4: Crypto Threat Intelligence
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Tracking tainted coins (Chainalysis, Elliptic techniques)
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Mixers, privacy coins, and other obfuscation methods
Simulation: Investigating a Multi-Jurisdictional Laundering Scheme
Day 3: Compliance Optimization
Module 5: Regulatory Expectations
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FATF Recommendation 20 implementation
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SEC/FinCEN crypto reporting rules
Module 6: Risk-Based Alert Management
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Alert prioritization matrices
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QA frameworks for TM systems
Capstone Exercise: Redesigning a Bank’s TM Workflow
Unique Value Proposition
✅ Hands-on labs with real-world transaction datasets
✅ Latest typologies including CBDC and AI-generated fraud risks
✅ Certification exam proctored by financial crime experts
✅ Template library: STR narratives, tuning documentation
Who Should Attend?
• AML Analysts/Managers seeking advanced detection skills
• Fintech Compliance Officers building TM systems
• Crypto Exchange MLROs
• Law Enforcement Financial Investigators
• Auditors reviewing TM effectiveness
Certification & Outcomes
Credential Awarded: Certified Suspicious Transactions Specialist (CSTS)
Career Pathways:
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Senior AML Investigator
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Transaction Monitoring System Architect
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Crypto Forensic Analyst
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Regulatory Examiner
Post-Training Support:
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12-month access to typology updates
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Private practitioner community
Delivery Formats
Option 1: 3-Day Intensive (Virtual/In-Person)
Option 2: Corporate Team Training
Why This Masterclass?
90% Practical Content – No theoretical fluff
Taught by The Risk Master
Includes Crypto & Traditional Finance
Directly Improves SAR Quality
Limited to 25 Participants per Cohort
Duration: 3 days.
