Anti-Money Laundering and KYC Training Course

Participants can translate AML regulatory expectations into accountable governance and documented control requirements.

• Board oversight, senior management accountability and money laundering reporting officers
• AML policy hierarchy: enterprise standards, procedures and operating instructions
• Regulatory examinations focused on governance, evidence, testing and remediation
• Record-retention requirements for customer files, transactions and investigation records
• Management information covering alerts, backlogs, quality and suspicious reports
• Issue management registers with owners, due dates and closure evidence

Participants can build a documented financial-crime risk assessment for a business area or product.

• Inherent-risk assessment across customers, products, geographies and delivery channels
• Risk appetite statements translated into measurable customer acceptance thresholds
• Control design assessment using preventive, detective and corrective classifications
• Residual-risk calculation after control effectiveness and known control gaps
• Risk assessment evidence drawn from incidents, alerts and external intelligence
• Annual refresh triggers following product changes, acquisitions or regulatory findings

Participants can define customer acceptance requirements and assemble complete KYC evidence files.

• Customer identification programme requirements for individuals, entities and authorised signatories
• Minimum KYC data fields supporting identification, verification and risk rating
• Reliable and independent sources for identity verification and document validation
• Customer acceptance criteria defining prohibited, restricted and approved relationships
• Purpose and intended nature statements linked to expected account activity
• KYC file indexing for retrieval, review and audit evidence

Participants can create and apply a customer risk-rating model with clear scoring and review rules.

• Customer-risk factors covering occupation, ownership, products and transaction expectations
• Geographic-risk scoring using FATF lists, sanctions and corruption indicators
• Product and channel risk weights for cash, remote and cross-border services
• Weighted scoring models with documented rationale for factor calibration
• Risk-rating overrides controlled through approvals, rationale and expiry dates
• Periodic-review frequencies aligned with low, medium and high-risk ratings

Participants can identify, verify and document beneficial ownership within complex legal entity structures.

• Beneficial owner definitions based on ownership, control and economic benefit
• Ownership charts tracing direct holdings, intermediate entities and controlling persons
• Corporate registries, constitutional documents and shareholder registers as evidence sources
• Nominee shareholders, trusts and foundations requiring additional ownership analysis
• Control through voting rights, board appointment rights and contractual arrangements
• Unresolved ownership discrepancies escalated through documented risk acceptance decisions

Participants can apply proportionate enhanced due diligence measures to high-risk customer relationships.

• Enhanced due diligence triggers from risk ratings, adverse media and ownership complexity
• Source-of-wealth analysis distinguishing asset origin from income generation
• Source-of-funds evidence matched to anticipated transaction size and frequency
• Senior management approval requirements for high-risk customer acceptance
• Enhanced monitoring plans defining scenarios, thresholds and review frequency
• Documented rationale where evidence remains incomplete but relationship continues

Participants can assess PEP exposure and adverse media findings using documented, risk-based decisions.

• PEP categories: domestic, foreign, international organisation and family members
• Close associates identified through ownership, business and personal relationships
• Risk factors beyond PEP status, including jurisdiction and transaction behaviour
• Adverse media searches assessed for source reliability, recency and relevance
• False-positive resolution supported by identifiers, source review and documented rationale
• PEP exit procedures following office departure and continuing risk assessment

Participants can assess sanctions-screening results and escalate potential sanctions exposure appropriately.

• Targeted financial sanctions, trade sanctions and sectoral sanctions distinctions
• Sanctions lists issued by UN, OFAC, EU and UK authorities
• Name-screening logic using transliteration, aliases and fuzzy matching thresholds
• Payment-screening controls for originator, beneficiary, banks and vessel information
• Potential-match investigation using identifiers, ownership data and transaction context
• Sanctions escalation, asset-freeze and reporting decisions under internal procedures

Participants can specify transaction-monitoring scenarios that reflect defined customer and product risks.

• Expected activity profiles built from customer purpose, income and business model
• Scenario typologies for structuring, rapid movement and unusual cash activity
• Threshold calibration using customer segmentation, historical behaviour and risk appetite
• Peer-group analysis identifying activity inconsistent with comparable customer populations
• Rules-based monitoring compared with behavioural analytics and network analysis
• Scenario documentation stating typology, inputs, thresholds and investigative actions

Participants can triage AML alerts using risk indicators, available evidence and service-level requirements.

• Alert inventory controls preventing missed, duplicated or aged investigations
• Triage criteria based on customer risk, transaction value and typology indicators
• Case prioritisation matrices combining potential harm, urgency and regulatory exposure
• Alert suppression controls requiring approval, rationale and periodic retesting
• Initial information gathering from KYC records, transaction data and prior cases
• Service-level tracking for assignment, investigation, approval and closure stages

Participants can investigate unusual transactions and reach supported conclusions on alert disposition.

• Transaction reconstruction using dates, counterparties, amounts and payment references
• Funds-flow analysis tracing incoming funds, transfers and ultimate beneficiaries
• Red-flag assessment against known typologies and expected customer activity
• Open-source intelligence research with source capture and reliability assessment
• Customer outreach requests framed to obtain relevant transaction explanations
• Disposition decisions: close, monitor, escalate or submit suspicious activity report

Participants can prepare fact-based suspicious activity reports supported by a clear investigative record.

• Suspicion threshold distinguished from proof of criminal conduct
• SAR narratives structured around subject, activity, concern and supporting evidence
• Chronologies presenting transactions, investigative steps and escalation decisions clearly
• Objective language separating verified facts, customer explanations and analyst judgement
• Tipping-off prohibitions controlling customer communications after report submission
• Post-submission monitoring, account restrictions and law-enforcement information requests

Participants can assess AML risks and due diligence requirements for correspondent banking relationships.

• Correspondent banking roles: respondent banks, payable-through accounts and nested relationships
• Due diligence on respondent ownership, licensing, controls and adverse information
• Cross-border payment transparency requirements for originator and beneficiary information
• Nested correspondent relationships identified through payment flows and account usage
• High-risk jurisdictions requiring enhanced controls, approvals and transaction scrutiny
• Relationship exit decisions supported by risk analysis and documented governance

Participants can identify trade-based money-laundering indicators within trade finance documentation and payments.

• Trade-based money laundering through over-invoicing, under-invoicing and phantom shipments
• Documentary credit red flags involving goods, parties and routing
• Bill of lading review for inconsistencies, unusual ports and shipment patterns
• Trade price verification using market references and product-specific benchmarks
• Dual-use goods, sanctions exposure and restricted trade counterparties
• Escalation records linking trade documents, payment flows and customer profile

Participants can recognise AML risks arising from digital payments, virtual assets and fraud-related proceeds.

• Digital-payment risks from speed, remote onboarding and mule-account activity
• Mule-account indicators including rapid transfers, funnel accounts and shared identifiers
• Virtual asset service providers and Travel Rule information requirements
• Blockchain transaction analysis concepts: wallets, clusters and exposure indicators
• Fraud proceeds moving through accounts before laundering or cash withdrawal
• Fraud and AML case coordination using shared intelligence and escalation routes

Participants can plan ongoing due diligence that keeps customer records and risk assessments current.

• Event-driven review triggers from ownership, behaviour and adverse information changes
• Periodic-review workflows for low, medium and high-risk customer populations
• KYC remediation campaigns prioritised by risk, data gaps and regulatory deadlines
• Customer outreach controls for overdue documents and incomplete information
• Risk-rating recalculation after material customer or transactional changes
• Account restriction and exit processes where KYC cannot be refreshed

Participants can test AML/KYC work quality, identify root causes and track corrective actions.

• Quality-assurance sampling using risk-based selection and documented sample rationale
• File-review checklists testing completeness, evidence quality and policy adherence
• Investigation quality testing for rationale, chronology and disposition support
• Exception taxonomy distinguishing process errors, judgement errors and system defects
• Root-cause analysis using five whys and corrective action ownership
• Control-testing reports presenting findings, severity, remediation and validation results

Participants can maintain defensible AML case records while applying data protection and access controls.

• Case-management workflows from intake, assignment and investigation through closure
• Audit trails capturing decisions, approvals, evidence versions and timestamps
• Investigation notes distinguishing facts, hypotheses, requests and conclusions
• Data minimisation principles applied to KYC collection and case documentation
• Role-based access controls protecting sensitive customer and investigation information
• Retention schedules balancing AML obligations, privacy and litigation holds

Participants can define an AML/KYC operating model with accountable processes, metrics and improvement priorities.

• Target operating model covering people, process, technology and governance
• RACI matrices assigning ownership for onboarding, monitoring and escalation activities
• Key risk indicators measuring backlog, alert quality and overdue reviews
• Capacity planning using volumes, handling times and quality-review rates
• Procedure updates triggered by regulatory change, incidents and control findings
• Implementation roadmaps sequencing quick fixes, dependencies and accountable owners

Participants can build, review and present a complete AML/KYC case file with documented recommendations.

• Customer profile assembled from identification, ownership and business-purpose evidence
• Risk rating calculated using customer, geography, product and channel factors
• Enhanced due diligence plan addressing PEP, sanctions and adverse-media findings
• Transaction investigation documenting funds flow, red flags and customer explanations
• Suspicious activity decision supported by chronology, rationale and evidence references
• Control recommendations presented with owners, priorities and implementation milestones