Money laundering and terrorist financing now move through digital wallets, trade invoices, shell companies and cross-border payment chains that traditional rule-based controls were never designed to follow. Regulators expect institutions to show that their anti-money laundering and counter-terrorist financing frameworks are risk-based, effective and continually improved, not merely documented. Boards, in turn, want to know whether compliance spending is actually reducing exposure.

This programme gives experienced practitioners a strategic and analytical toolkit. It starts with enterprise-wide risk assessment and the setting of risk appetite, then turns to the design of governance, three-lines responsibilities and performance measures for a modern financial crime function. Participants then work with data: reviewing alert quality, segmenting customers, building behavioural indicators, mapping relationships between accounts and entities, and testing where machine learning can help or mislead. Attention is also given to model governance, explainability, data protection and the ethics of automated decisions.

Learning is applied. Participants analyse anonymised transaction sets, work through typologies drawn from trade-based laundering, corruption proceeds and illicit finance in the informal sector, and leave with a draft strategy and innovation roadmap tailored to their own organisation.

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

• Develop an AML/CFT strategy aligned to enterprise risk assessment and FATF standards.
• Evaluate the effectiveness of existing controls using measurable performance indicators.
• Tune transaction monitoring scenarios and thresholds to reduce false positives without losing coverage.
• Apply link and network analysis to uncover hidden relationships between accounts and entities.
• Assess where machine learning and regtech tools can strengthen detection and where they add risk.
• Design governance and validation arrangements for analytical models used in compliance.
• Build a business case and phased roadmap for financial crime innovation.

The programme suits senior and specialist staff who set, run or oversee financial crime controls, including:

• Money laundering reporting officers and heads of compliance
• Financial crime and fraud investigators
• Financial intelligence unit analysts
• Risk managers and chief risk officers in banks and insurers
• Mobile money and payment service provider compliance leads
• Internal and forensic auditors
• Supervisors and regulators of financial institutions
• Law enforcement and asset recovery officers
• Data analysts supporting compliance teams

Participants leave with practical outputs they can take straight back to work:

• A draft AML/CFT strategy with risk appetite statements and measurable objectives.
• A scenario tuning checklist for improving alert quality.
• A worked network diagram built from a typology case.
• A model governance template covering validation, explainability and monitoring.
• A prioritised innovation roadmap with costs, dependencies and quick wins.
• Sharper arguments for engaging supervisors and boards on effectiveness.

Teaching is analytical and discussion-driven, designed for people who already work in financial crime. It includes:

• Facilitator briefings on strategy, regulation and emerging threats
• Hands-on labs using anonymised transaction datasets and spreadsheet-based analysis
• Typology case files from trade, corruption and informal-sector finance
• Peer panels comparing control design across banks, payment firms and regulators
• Roadmap clinics where participants test their plans against facilitator feedback

Delegates who attend the sessions and complete the practical exercises are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.