Criminals move money faster than manual reviews can follow, and supervisors now expect institutions to prove that their monitoring finds real risk rather than flooding analysts with false alarms. Five days equip compliance teams to use data as their main detection tool. You work through customer and transaction datasets, build typologies for structuring, layering, trade-based laundering and terrorist financing, and write rule-based scenarios with thresholds you can defend. Sessions on alert tuning cover below-the-line testing, precision and recall, and segmentation of customers by risk. You also see how entity resolution, link analysis and graph methods expose hidden relationships between accounts, companies and beneficial owners.
The later sessions move from detection to action: triaging alerts, documenting investigations, drafting suspicious transaction reports and measuring programme performance with dashboards and management information. Machine learning for anomaly detection is introduced with attention to explainability, model governance and data quality. The programme suits AML and CFT compliance officers, money laundering reporting officers, financial intelligence unit analysts, internal auditors, fraud investigators and risk staff in banks, insurers, mobile money operators and regulators. Delivery is by classroom, online or in-house, with a CPD-accredited certificate.
Financial institutions in Africa and beyond face growing expectations from regulators, correspondent banks and the Financial Action Task Force that their anti-money laundering and counter-terrorist financing controls are risk-based and evidenced with data. Legacy monitoring systems often generate thousands of low-value alerts, hide genuine red flags and leave compliance teams unable to explain why a rule exists or whether it works.
Over five days, participants learn how to prepare and profile transaction, customer and screening data, translate typologies into scenarios, and measure and tune detection performance. The programme covers customer risk segmentation, threshold setting, sampling and validation, network and link analysis, and the careful use of machine learning for anomaly detection. It then follows an alert through triage, investigation, case documentation and reporting to the financial intelligence unit, and closes with management information and governance of the analytics function.
The teaching is led by practitioners and built on anonymised datasets that participants query and visualise themselves. Short briefings introduce each method, after which small groups apply it to a realistic case. Participants finish with a tested monitoring scenario, an alert-tuning plan and a reporting dashboard design that can be adapted to their own institution.
By the end of the programme, participants will be able to:
Participants leave with:
Delivery relies on hands-on analysis rather than slides. The programme includes:
Day 1: Financial Crime Risk and the Data Landscape
Day 2: Designing Monitoring Scenarios and Red Flags
Day 3: Tuning, Testing and Validating Detection
Day 4: Network, Link and Anomaly Analysis
Day 5: Investigation, Reporting and Programme Performance
The programme is aimed at professionals who detect, investigate or oversee financial crime risk, including:
Participants who attend the sessions and complete the practical labs are awarded a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Data and Analytics for AML / CFT & Financial Crime Analytics programme, you'll be able to translate money laundering, terrorist financing and fraud typologies into measurable data-driven red flags, prepare and profile transaction and customer data so that monitoring results can be trusted, design, calibrate and document rule-based monitoring scenarios and thresholds, and evaluate alert quality using false-positive rates, below-the-line testing and sampling. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is aimed at professionals who detect, investigate or oversee financial crime risk, including: AML and CFT compliance officers, Money laundering reporting officers and their deputies, Financial intelligence unit and law enforcement analysts, Transaction monitoring and sanctions screening analysts, Internal and external auditors reviewing compliance programmes, Fraud and forensic investigators, Risk managers in banks, insurers and mobile money providers, Supervisors and regulators of financial institutions, and Data analysts supporting compliance teams.
Data and Analytics for AML / CFT & Financial Crime Analytics Training Course typically runs as 5 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for AML / CFT & Financial Crime Analytics Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for AML / CFT & Financial Crime Analytics starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for AML / CFT & Financial Crime Analytics Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for AML / CFT & Financial Crime Analytics Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for AML / CFT & Financial Crime Analytics Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for AML / CFT & Financial Crime Analytics Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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