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Vision Reach Global
Banking, Accounting and Financial Management

Live Online Practical AML / CFT & Financial Crime Analytics Training Course

Live online, instructor-led · next cohort Nov 2, 2026 · from USD 800

Criminals move money through trade invoices, mobile wallets, shell companies and cash-intensive businesses, and institutions that miss the signs face sanctions, de-risking and lost correspondent relationships. Over five days, compliance teams learn to find suspicious activity in the data itself rather than waiting for an alert to be handed to them. Sessions cover customer risk scoring, typologies for money laundering and terrorist financing, monitoring rules and thresholds, sanctions screening and the drafting of suspicious transaction reports.

Upcoming live online sessions

Live Online

Nov 2 – 6, 2026

$800

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Live Online

Nov 30 – Dec 4, 2026

$800

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Live Online

Dec 28, 2026 – Jan 1, 2027

$800

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Live Online

Jan 25 – 29, 2027

$800

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this 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.

Training Objectives

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.

What you'll learn

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.

Key Takeaways

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.

Training Methodology

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
FAQ

Frequently Asked Questions About Live Online Practical AML / CFT & Financial Crime Analytics Training Course

Everything you need to know about this course before you register.

By the end of the Practical AML / CFT & Financial Crime Analytics programme, you'll 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, and analyse transaction files in excel and python to isolate unusual behaviour. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Practical AML / CFT & Financial Crime Analytics Training Course? Chat with an advisor·Visit the full FAQ

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VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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