Combating Financial Crime Course

Lesson 1 • Global Scale and Economic Impact

Quantifies the economic damage of financial crime and its systemic effects on markets and societies. Motivates the urgency of professional intervention.

Lesson 2 • Motivations and Criminal Typologies

Examines why individuals and organisations commit financial crime and how offenders are categorised. Builds analytical framing for risk assessment.

Lesson 3 • Key Stakeholders and Institutional Roles

Identifies the public and private actors responsible for detecting and preventing financial crime. Clarifies professional accountability across sectors.

Lesson 1 • Counter-Terrorist Financing Rules

Covers the distinct legal regime targeting terrorist financing and its operational differences from anti-money laundering. Prepares students for dual-regime compliance.

Lesson 2 • Sanctions Regimes and Compliance

Explains how economic sanctions are structured and enforced across jurisdictions. Equips students to screen transactions and manage sanctions exposure.

Lesson 3 • International Standards and Bodies

Introduces the global standard-setting organisations that shape anti-financial crime rules. Provides context for understanding domestic regulatory requirements.

Lesson 4 • Anti-Money Laundering Obligations

Details the core legal duties imposed on regulated entities to prevent money laundering. Connects regulatory text to practical compliance actions.

Lesson 1 • Geographic and Jurisdictional Risk

Examines how location-based factors amplify or reduce financial crime exposure. Enables geographic risk scoring in customer and transaction assessments.

Lesson 2 • Customer and Product Risk Factors

Identifies the characteristics of customers and products that elevate financial crime risk. Feeds directly into customer due diligence and onboarding decisions.

Lesson 3 • Enterprise-Wide Risk Assessment

Guides students through building a comprehensive institutional risk assessment. Integrates customer, product, and geographic risk into a unified framework.

Lesson 4 • Risk-Based Approach Principles

Introduces the regulatory expectation that compliance effort matches risk level. Establishes the conceptual basis for all risk assessment methodologies.

Lesson 1 • Corporate Structures and Beneficial Ownership

Addresses the complexity of verifying ownership through layered legal entities. Equips students to penetrate shell companies and nominee arrangements.

Lesson 2 • Standard Due Diligence Procedures

Details the baseline steps for onboarding individual and corporate customers. Provides practical workflows applicable across financial and non-financial sectors.

Lesson 3 • Know Your Customer Fundamentals

Establishes the purpose and legal basis of KYC obligations across regulated sectors. Frames due diligence as a continuous process rather than a one-time check.

Lesson 4 • Simplified Due Diligence Conditions

Explains when reduced due diligence is permissible and the conditions that must be met. Prevents over-compliance while maintaining regulatory acceptability.

Lesson 1 • Suspicious Activity Reporting

Details the legal requirements and practical steps for filing suspicious activity reports. Emphasises accuracy, timeliness, and the tipping-off prohibition.

Lesson 2 • Red Flags and Typologies

Catalogues the behavioural and transactional indicators associated with financial crime schemes. Trains pattern recognition essential for alert review and investigation.

Lesson 3 • Principles of Transaction Monitoring

Introduces the logic behind automated and manual transaction monitoring programmes. Establishes detection as a core compliance function distinct from prevention.

Lesson 4 • Alert Management and Triage

Covers the workflow for handling system-generated alerts from receipt to disposition. Reduces false positives while ensuring genuine threats are escalated.

Lesson 1 • Fraud Detection Tools and Techniques

Introduces the analytical and technological tools used to detect fraudulent activity. Prepares students to evaluate and operate detection systems in practice.

Lesson 2 • Fraud Risk Assessment

Applies risk assessment principles specifically to fraud exposure across products and channels. Integrates with enterprise risk frameworks introduced in earlier chapters.

Lesson 3 • Fraud Prevention and Controls

Covers the design of preventive controls that reduce fraud opportunity and impact. Balances security with customer experience to maintain operational viability.

Lesson 4 • Fraud Investigation Methodology

Provides a step-by-step approach to investigating suspected fraud cases. Ensures findings are documented to support disciplinary, civil, or criminal action.

Lesson 1 • Training Programme Design

Covers how to design role-specific financial crime training that changes behaviour. Links training effectiveness to measurable compliance outcomes.

Lesson 2 • Programme Testing and Quality Assurance

Introduces methods for testing whether compliance controls are operating effectively. Prepares students to manage internal audits and regulatory examinations.

Lesson 3 • Governance Structures and Accountability

Examines how compliance responsibilities are distributed across the three lines of defence. Clarifies accountability at every organisational level.

Lesson 4 • Policy and Procedure Development

Guides students through drafting, approving, and maintaining compliance policies. Ensures policies are actionable, current, and aligned with regulatory requirements.

Lesson 1 • Strategic Programme Leadership

Develops the leadership competencies needed to manage a financial crime compliance function. Prepares students for senior roles requiring stakeholder influence and strategic planning.

Lesson 2 • Financial Intelligence Analysis

Introduces structured analytical techniques used to convert raw data into actionable intelligence. Elevates students from reactive detection to proactive threat anticipation.

Lesson 3 • Public-Private Information Sharing

Examines formal and informal mechanisms for sharing financial crime intelligence between sectors. Demonstrates how collaboration multiplies detection effectiveness.

Lesson 4 • Advanced Data Analytics in Compliance

Covers the application of machine learning and big data tools to financial crime detection. Equips students to evaluate and oversee technology-driven compliance solutions.