Practical AML / CFT & Financial Crime Analytics Training Course

Financial crime has become a data problem. Volumes of payments, mobile transfers and trade transactions are far beyond what manual review can cover, while regulators and the Financial Action Task Force framework expect institutions to show that their controls are risk-based, tested and effective. Teams that rely on default vendor rules often drown in false alerts and still miss the patterns that matter.

The Practical AML / CFT & Financial Crime Analytics Training Course gives compliance and investigation staff a working analytical toolkit. It starts with the money laundering and terrorist financing cycle and the risk assessment that should drive every control. It then moves into customer and product risk scoring, transaction profiling, scenario design and threshold tuning, followed by sanctions and watchlist screening, network analysis and case management. The final sessions concentrate on turning findings into clear suspicious transaction reports and management information.

Participants work through realistic datasets rather than slides. They clean and explore transaction files, test rules against known cases, measure alert quality and present their conclusions as they would to a money laundering reporting officer or board committee. Each person finishes with a documented scenario, a tuned set of thresholds and an improvement plan for their own institution.

By the end of the course, participants will be able to:

• Explain how money laundering and terrorist financing typologies appear in transaction data.
• Conduct a risk-based assessment of customers, products, channels and geographies.
• Design and document monitoring scenarios with defensible thresholds.
• Analyse transaction files in Excel and Python to isolate unusual behaviour.
• Reduce false positives by testing and tuning alert rules against known cases.
• Apply sanctions and watchlist screening with sound match-handling decisions.
• Map relationships between accounts, people and entities to expose hidden networks.
• Write suspicious transaction reports that are factual, complete and timely.

The course is intended for professionals who detect, investigate or oversee financial crime risk, including:

• AML/CFT compliance officers and money laundering reporting officers
• Transaction monitoring and sanctions screening analysts
• Fraud and forensic investigators
• Internal auditors reviewing compliance controls
• Risk managers in banks, SACCOs and microfinance institutions
• Mobile money, payment service and forex bureau compliance staff
• Financial intelligence unit and regulatory analysts
• Insurance and capital markets compliance professionals

Participants leave the course with:

• A documented monitoring scenario with rationale, thresholds and test results.
• A reusable Excel and Python workbook for profiling transaction files.
• A customer risk scoring template adaptable to their own product range.
• A checklist for assessing alert quality and tracking false-positive rates.
• A model suspicious transaction report built from a worked case.
• A short improvement plan for strengthening analytics in their institution.

Learning is driven by data and cases from real compliance work. The approach includes:

• Facilitator-led demonstrations of each analytical technique
• Computer-based labs using anonymised transaction datasets
• Case files drawn from banks, mobile money operators and remittance firms
• Group investigations that end in a written report
• Peer review of scenarios and thresholds

Participants who attend the sessions and complete the practical labs receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy, confirming their training in financial crime analytics.