AML Compliance and Regulatory Requirements Training Course

Participants can translate AML regulatory obligations into documented policies, procedures and control requirements.

• Risk-based AML obligations compared across primary laws and regulations
• Translating regulatory text into policy, procedure and control requirements
• Record-retention periods, audit trails and data-access obligations defined
• Extra-territorial exposure from correspondent banking, dollar clearing and group operations
• Enforcement actions analysed for root causes and remediation expectations
• Obligations register built with owners, evidence and review dates

Participants can develop an enterprise AML risk assessment and prioritised treatment plan.

• Enterprise AML risk assessment scoped by products, customers and jurisdictions
• Inherent-risk scoring calibrated using impact, likelihood and typology evidence
• Control effectiveness rated through design and operating-effectiveness tests
• Residual-risk heat maps linked to treatment actions and accountable owners
• Risk appetite statements translated into thresholds, escalation and approval rules
• Annual risk-assessment refresh triggered by material business or threat changes

Participants can establish governance, accountability and management reporting for AML controls.

• Board-approved AML governance defined through mandates, reporting and challenge
• MLRO responsibilities distinguished from business, compliance, audit and investigations
• RACI matrices assign ownership for onboarding, monitoring and suspicious reporting
• Management information packs connect key risk indicators to decisions
• Control attestations supported by evidence, exceptions and remediation deadlines
• Training programmes targeted through role, risk and assessment results

Participants can perform risk-based CDD and document customer acceptance decisions.

• Customer identification requirements mapped to legal-form and product risk
• Verification methods tested against reliable, independent source documentation
• Purpose-and-nature profiles capture expected activity and funding sources
• CDD files assessed for completeness, consistency, currency and approval
• Event-driven reviews triggered by ownership, activity or adverse-information changes
• Onboarding decisions documented with risk rationale and conditions

Participants can apply enhanced due diligence to higher-risk customers and relationships.

• Enhanced due diligence applied using documented higher-risk customer criteria
• Source-of-wealth analysis separates asset origin from transaction funding
• Source-of-funds corroboration tested against transaction-specific evidence
• Senior management approval controlled for high-risk relationship acceptance
• PEP risk assessments consider position, geography, associates and influence
• EDD review plans set monitoring intensity and periodic refresh dates

Participants can identify and assess beneficial ownership within complex customer structures.

• Beneficial ownership thresholds compared with control, ownership and legal-person tests
• Ownership structures diagrammed through trusts, nominees, intermediaries and holding companies
• Control persons identified where equity ownership does not determine control
• Corporate registries assessed for reliability, recency and corroboration needs
• Trust settlors, trustees, protectors and beneficiaries documented for CDD
• Unexplained ownership complexity escalated using defined acceptance criteria

Participants can assess screening alerts and document proportionate escalation decisions.

• Sanctions screening configured for customers, payments and trade counterparties
• Name-matching algorithms assessed for transliteration, aliases and fuzzy-match thresholds
• PEP, relatives and close associates identified through risk-based screening
• Adverse-media searches evaluated for source credibility, relevance and recency
• Alert disposition records capture rationale, evidence and escalation decisions
• False-positive reduction governed without weakening sanctions or PEP controls

Participants can design and assess risk-based transaction-monitoring scenarios and thresholds.

• Transaction-monitoring scenarios linked to documented customer and product risks
• Detection rules cover structuring, rapid movement, unusual cash and mule activity
• Threshold calibration uses alert volumes, outcomes and known typologies
• Customer segmentation improves scenario relevance and investigative prioritisation
• Alert backlogs measured through ageing, capacity and service-level indicators
• Scenario changes controlled through testing, approval and implementation evidence

Participants can investigate AML alerts and prepare complete, reviewable case files.

• Alert triage separates data-quality issues from plausible suspicious activity
• Investigation plans define hypotheses, information sources, timelines and decision points
• Transaction narratives reconstruct fund flows, counterparties and behavioural patterns
• Link analysis identifies related accounts, common devices and circular flows
• Case files preserve evidence, analyst reasoning and quality-review comments
• Escalation decisions distinguish monitoring, exit, freezing and reporting responses

Participants can draft suspicious activity reports and manage post-filing responsibilities.

• Suspicion thresholds applied without requiring proof of underlying criminality
• Suspicious activity reports drafted with clear chronology, facts and indicators
• Disclosure narratives separate observed evidence from analyst inference
• Filing deadlines, confidentiality and tipping-off restrictions incorporated into procedures
• Post-filing monitoring plans address continuing risk and law-enforcement requests
• Management reporting tracks filings, quality findings and thematic trends

Participants can assess sanctions exposure, escalation decisions and evasion indicators.

• Sanctions regimes compared across UN, US, EU and UK authorities
• Ownership and control tests applied to sanctioned-entity exposure
• Payment messages reviewed for prohibited parties, goods, vessels and routing
• Asset-freeze decisions documented with legal escalation and customer communication controls
• Sanctions evasion indicators include transshipment, shell companies and payment stripping
• Voluntary disclosures and regulator notifications assessed through escalation protocols

Participants can assess correspondent banking and trade-finance AML risks.

• Correspondent banking risk assessed using respondent profile and jurisdiction exposure
• Wolfsberg CBDDQ responses evaluated for governance, controls and residual gaps
• Payable-through accounts and nested relationships examined for transparency risks
• Trade-based money laundering indicators identify invoice, quantity and shipment anomalies
• Trade documents reconciled across bills of lading, invoices and payment terms
• Escalation routes address dual-use goods, sanctions and customs red flags

Participants can assess AML risks and controls for virtual-asset activity.

• Virtual asset service provider risks assessed under FATF guidance
• Travel Rule data requirements mapped to transfer processing controls
• Blockchain analytics outputs interpreted alongside customer and transaction evidence
• Wallet screening distinguishes exposure, attribution confidence and transaction context
• Mixers, privacy coins and chain-hopping assessed as risk indicators
• Digital-asset investigations document addresses, transaction hashes and supporting rationale

Participants can govern AML risks arising from outsourced services and intermediaries.

• Outsourced AML activities governed through service-level agreements and oversight
• Vendor due diligence assesses competence, data security and control capability
• Agent and intermediary risks scored using geography, services and payment patterns
• Third-party monitoring defines reporting, testing and issue-escalation requirements
• Data-sharing arrangements tested against privacy, secrecy and retention constraints
• Exit plans protect records, alerts and unresolved investigations

Participants can test AML control quality, identify root causes and manage remediation.

• Quality assurance sampling tests onboarding, alerts, investigations and reporting decisions
• Root-cause analysis separates people, process, data and technology failures
• Model validation examines data lineage, assumptions, performance and change control
• Precision and recall metrics inform transaction-monitoring scenario tuning decisions
• Key risk indicators distinguish control failure from increased inherent risk
• Remediation plans sequence actions, owners, evidence and closure testing

Participants can prepare AML evidence for audit, regulatory review and issue closure.

• Internal audit scopes AML assurance using risk-based audit planning
• Testing scripts trace controls from policy requirements to operating evidence
• Findings rated by regulatory impact, root cause and recurrence
• Regulatory examinations prepared through document inventories, walkthroughs and accountable spokespeople
• Management responses state corrective actions, milestones and sustainable-control evidence
• Issue validation confirms remediation effectiveness before formal closure

Participants can build, review and present a complete AML control framework and remediation plan for a selected business case.

• AML risk assessment defines scope, methodology, inherent risks and residual ratings
• Customer-risk model assigns factors, weights, overrides and approval authorities
• CDD and EDD workflow specifies evidence, triggers and escalation routes
• Monitoring scenarios, investigation standards and SAR decisions address selected typologies
• Governance pack sets KRIs, reporting cadence, ownership and assurance testing
• Peer review challenges assumptions, evidence gaps, control design and priorities
• Final presentation defends a documented AML control framework and remediation plan