Anti-Money Laundering Audit and Financial Investigation Training Course

Course Introduction

Money laundering risks continue to evolve as criminals exploit increasingly complex financial products, digital payment channels, corporate structures, cross-border transactions and third-party relationships to conceal the origins and movement of illicit funds. Auditors therefore require a strong understanding of anti-money laundering controls and investigative techniques to evaluate whether organisations can identify, prevent, detect and respond effectively to suspicious financial activity.

The Anti-Money Laundering Audit and Financial Investigation Training Course provides a comprehensive framework for auditing anti-money laundering programmes while developing practical financial investigation capabilities. The programme examines AML governance, customer and counterparty risk, beneficial ownership, transaction monitoring, suspicious activity indicators, sanctions-related exposure, recordkeeping and investigative procedures from an assurance perspective.

Effective AML auditing requires more than checking whether policies exist. Auditors must determine whether controls operate consistently, whether risk assessments reflect actual exposure, whether customer due diligence is appropriately applied, and whether monitoring systems identify meaningful patterns of suspicious activity. Participants will learn how to evaluate the design and operating effectiveness of AML controls using risk-based audit procedures, evidence evaluation and targeted testing techniques.

The course also develops practical financial investigation skills for analysing unusual transactions and tracing potentially illicit financial flows. Participants will examine bank transactions, accounting records, payment instructions, customer profiles, invoices, corporate structures and related-party information to identify anomalies and relationships that may warrant further investigation. Particular attention is given to distinguishing genuine risk indicators from legitimate transactions that may appear unusual without sufficient context.

Technology and data analytics are increasingly important components of AML assurance and financial investigation. The programme explores transaction analytics, customer risk scoring, network analysis, alert assessment, data quality testing, automated monitoring and emerging artificial intelligence applications. Participants will also consider model governance, false positives, explainability, data privacy and human oversight when assessing technology-enabled AML controls.

The programme concludes by bringing together AML auditing, financial investigation, evidence management, reporting, remediation and continuous monitoring. Participants will learn how to communicate significant AML weaknesses, document investigative conclusions, assess financial exposure and support sustainable corrective action. The result is a practical professional development programme for auditors and assurance practitioners seeking to strengthen their organisation’s ability to detect and respond to money laundering and related financial crime risks.

Duration

10 days

Who Should Attend

• Internal auditors responsible for reviewing AML and financial crime controls.

• External auditors who assess financial crime risks within regulated and high-risk organisations.

• AML compliance officers responsible for designing and monitoring anti-money laundering programmes.

• Financial crime investigators examining suspicious transactions and illicit financial activity.

• Forensic auditors conducting financial investigations involving potentially laundered funds.

• Compliance managers responsible for customer due diligence and transaction monitoring frameworks.

• Risk professionals assessing money laundering and financial crime exposure across business operations.

• Fraud investigators handling cases involving suspicious payments, accounts and financial relationships.

• Banking and financial services professionals responsible for AML assurance and control effectiveness.

• Audit managers supervising AML reviews, investigations and regulatory compliance engagements.

• Governance, risk and compliance professionals responsible for financial crime oversight.

• Finance professionals involved in transaction analysis, financial controls and investigative reviews.

• Public-sector auditors examining corruption proceeds, illicit financial flows and misuse of public funds.

• Senior managers responsible for strengthening AML governance, risk management and financial crime resilience.

Course Objectives

• Develop a comprehensive understanding of anti-money laundering principles, financial crime risks and the auditor’s role in evaluating AML governance and controls.

• Apply a structured, risk-based methodology for planning and executing audits of anti-money laundering frameworks, processes, systems and monitoring activities.

• Evaluate the effectiveness of customer due diligence, enhanced due diligence, ongoing monitoring and customer risk classification controls.

• Identify and assess money laundering indicators across banking, payments, procurement, revenue, investment, trade, corporate and third-party transactions.

• Examine beneficial ownership, related-party structures and complex corporate relationships to identify potential concealment of ownership or control.

• Analyse financial transactions and account activity to identify unusual patterns, potentially suspicious flows, structuring and other indicators requiring further examination.

• Assess transaction monitoring systems, alert generation, investigation processes, escalation procedures and the effectiveness of suspicious activity review mechanisms.

• Apply financial investigation techniques to trace transactions, reconstruct financial events and establish relationships among individuals, accounts, entities and transactions.

• Evaluate the quality, relevance, reliability and completeness of evidence used to support AML audit findings and financial investigation conclusions.

• Use data analytics and technology-assisted techniques to identify anomalies, relationships, high-risk transactions and weaknesses in AML monitoring environments.

• Prepare clear AML audit and financial investigation reports that distinguish verified facts, analytical conclusions, limitations, risks and required corrective actions.

• Strengthen AML assurance through remediation monitoring, continuous control assessment, emerging-risk intelligence and integration of investigation lessons into organisational risk management.

Comprehensive Course Outline

Module 1: Foundations of Anti-Money Laundering Audit and Financial Investigation

• Fundamentals of money laundering, illicit finance and the relationship between AML controls, audit assurance and financial investigation.

• Key stages and mechanisms through which illicit proceeds may be introduced, moved, disguised and integrated into legitimate financial systems.

• Roles and responsibilities of internal audit, compliance, management, legal teams, investigators and other financial crime control functions.

• Principles of independence, professional scepticism, confidentiality, objectivity and evidence-based reasoning in AML audit engagements.

Module 2: AML Governance, Risk Management and Control Frameworks

• AML governance structures, accountability arrangements, management oversight and board-level responsibilities for financial crime risk.

• Integration of money laundering risks into enterprise risk management, internal control and organisational compliance frameworks.

• AML policies, procedures, risk appetite, escalation mechanisms and governance documentation used to support effective financial crime management.

• Assessing whether AML governance arrangements are proportionate to organisational activities, customer exposure, products, services and geographic risks.

Module 3: AML Risk Assessment and Audit Planning

• Developing institution-wide and process-level AML risk assessments using customer, product, geographic, transactional and delivery-channel exposures.

• Translating identified AML risks into audit objectives, scope, procedures, testing strategies and evidence requirements.

• Building AML audit universes and prioritising engagements according to risk concentration, control weaknesses and regulatory exposure.

• Designing dynamic AML audit plans that respond to emerging threats, business changes, investigation outcomes and changes in risk profiles.

Module 4: Customer Due Diligence and Enhanced Due Diligence Auditing

• Auditing customer identification, verification, onboarding and risk classification procedures across different customer categories.

• Evaluating enhanced due diligence requirements for high-risk customers, complex relationships, politically exposed persons and unusual business activities.

• Testing customer information, risk ratings, source-of-funds information and source-of-wealth documentation for completeness and consistency.

• Assessing ongoing customer monitoring, periodic reviews, trigger events and procedures for updating outdated or incomplete customer information.

Module 5: Beneficial Ownership, Related Parties and Complex Structures

• Understanding beneficial ownership concepts and their significance in identifying hidden control, financial relationships and potential AML exposure.

• Auditing procedures for identifying and verifying ultimate beneficial owners across companies, trusts, partnerships and complex ownership structures.

• Examining related-party relationships, nominee arrangements, interconnected entities and unusual ownership patterns for potential financial crime indicators.

• Applying relationship mapping and documentary analysis to assess whether recorded ownership and control information is consistent with available evidence.

Module 6: Transaction Monitoring and Suspicious Activity Detection

• Evaluating transaction monitoring frameworks, detection scenarios, alert thresholds and procedures for identifying potentially suspicious financial activity.

• Analysing unusual transaction volumes, frequencies, values, counterparties, geographic movements and timing patterns.

• Identifying indicators of structuring, rapid movement of funds, unusual transfers, circular transactions and activity inconsistent with customer profiles.

• Assessing alert investigation, disposition, escalation, documentation and quality assurance processes within transaction monitoring environments.

Module 7: Financial Investigation and Transaction Tracing

• Developing investigation plans for suspicious activity allegations, AML alerts, audit findings and unusual financial transactions.

• Tracing funds across accounts, entities, payment channels and transactions to reconstruct potentially complex financial flows.

• Linking transaction evidence with invoices, contracts, accounting records, customer information and other documentary evidence.

• Developing investigative hypotheses while maintaining a clear distinction between verified evidence, analytical interpretations and unresolved issues.

Module 8: Evidence Management and Investigative Procedures

• Identifying, collecting, preserving and documenting financial, documentary, electronic and testimonial evidence relevant to AML investigations.

• Assessing evidence reliability, completeness, relevance and corroboration when evaluating suspicious activity and potential money laundering.

• Maintaining organised investigation files, evidence schedules, source documentation and appropriate traceability throughout investigative assignments.

• Managing confidentiality, access controls, data protection and procedural safeguards when handling sensitive financial crime investigation information.

Module 9: AML Data Analytics and Technology-Enabled Investigation

• Applying data analytics to identify unusual transactions, duplicate activity, threshold breaches, abnormal relationships and suspicious financial patterns.

• Using customer, transaction and account data to develop risk indicators and prioritise higher-risk activity for audit or investigative review.

• Applying network analysis and visualisation techniques to examine relationships among customers, accounts, counterparties and related entities.

• Evaluating automated AML tools and emerging artificial intelligence applications while considering data quality, model risk, explainability and human oversight.

Module 10: Cross-Border Transactions, Sanctions and High-Risk Financial Activity

• Auditing cross-border payments, international transfers and correspondent relationships for heightened money laundering and financial crime risks.

• Assessing geographic risk factors, high-risk jurisdictions and transaction patterns requiring enhanced scrutiny and investigation.

• Understanding the relationship between AML controls, sanctions compliance, prohibited transactions and broader financial crime control frameworks.

• Examining trade-related transactions, intermediaries and complex payment arrangements for indicators of illicit financial activity.

Module 11: Fraud, Corruption and Predicate Offences

• Understanding how fraud, corruption, bribery, theft, tax-related misconduct and other predicate offences can generate proceeds requiring laundering.

• Investigating connections between suspicious transactions, procurement activity, inflated invoices, conflicted relationships and potential corruption proceeds.

• Assessing whether AML controls identify financial activity arising from internal fraud, external fraud or corruption-related financial misconduct.

• Integrating audit findings from fraud and corruption reviews with AML investigations to develop a broader understanding of illicit financial flows.

Module 12: Financial Reconstruction, Loss Assessment and Asset Tracing

• Reconstructing financial activity using bank records, accounting ledgers, payment records, invoices and supporting transaction documentation.

• Tracing potentially illicit proceeds through multiple transactions, accounts, entities and financial channels to establish movement of funds.

• Assessing financial exposure, unexplained balances, diverted funds and potential losses associated with investigated financial activity.

• Documenting financial calculations, assumptions, source records and analytical procedures to support transparent and reproducible investigative conclusions.

Module 13: AML Compliance Testing and Control Effectiveness

• Designing substantive and control-based testing procedures for customer due diligence, monitoring, reporting, recordkeeping and escalation controls.

• Evaluating control design and operating effectiveness using sampling, walkthroughs, reperformance, exception testing and evidence inspection.

• Assessing weaknesses in automated controls, manual reviews, governance processes and management oversight that could increase AML exposure.

• Developing evidence-based conclusions on whether AML controls operate consistently and effectively across relevant business processes.

Module 14: AML Audit Reporting, Suspicious Activity Escalation and Governance Communication

• Structuring AML audit reports around scope, methodology, evidence, control weaknesses, risk implications, conclusions and corrective actions.

• Documenting suspicious activity findings carefully while distinguishing factual evidence from analytical conclusions and unresolved investigative matters.

• Communicating significant AML weaknesses to senior management, audit committees, boards and authorised stakeholders using clear risk-based language.

• Establishing appropriate escalation, confidentiality and reporting procedures for significant financial crime issues identified through audit or investigation.

Module 15: Remediation, Regulatory Readiness and Continuous AML Assurance

• Evaluating corrective actions addressing weaknesses in customer due diligence, monitoring, governance, data quality and investigative processes.

• Monitoring remediation commitments, ownership, deadlines, evidence of implementation and sustained operating effectiveness.

• Preparing AML functions for regulatory reviews through documentation quality, control evidence, governance reporting and issue management.

• Developing continuous assurance approaches that integrate audit findings, monitoring results, investigation intelligence and emerging AML risks.

Module 16: Advanced AML Audit and Financial Investigation Strategy

• Integrating AML auditing, financial investigation, forensic analysis, compliance monitoring and enterprise risk management into a coordinated assurance model.

• Developing advanced strategies for complex cases involving multiple accounts, entities, jurisdictions, transaction channels and interconnected financial relationships.

• Establishing forward-looking AML assurance programmes that incorporate emerging technologies, new payment methods and evolving financial crime typologies.

• Strengthening organisational resilience through continuous monitoring, financial intelligence, investigative capability, control optimisation and senior governance oversight.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.