AML for Casinos and Gaming Operators Training Course

Participants can structure a documented AML risk assessment for a gaming operation.

• Enterprise AML risk assessment using customer, product, channel and geography factors
• Inherent-risk scoring for land-based, online, sportsbook and lottery activities
• Control-effectiveness assessment using design, operation and evidence quality criteria
• Residual-risk ratings linked to management actions and review frequencies
• Risk appetite statements for cash thresholds, VIP services and payment methods
• Governance roles: board oversight, MLRO authority, operations ownership and assurance
• Documenting assumptions, data limitations and risk-assessment challenge records

Participants can apply proportionate due diligence and customer risk-rating controls.

• Customer identification requirements for patrons, account holders and legal entities
• Beneficial ownership checks for corporate players and related-party accounts
• Risk-rating models using occupation, geography, transaction behaviour and adverse information
• Enhanced due diligence triggers for politically exposed persons and high-value players
• Ongoing due diligence schedules matched to customer risk and activity
• Documenting purpose-of-account information for remote gaming customer relationships
• Managing refusal, incomplete evidence and customer offboarding decisions

Participants can assess whether a customer's gaming funds are consistent with known circumstances.

• Source-of-funds versus source-of-wealth: distinct questions and evidence standards
• Evidence hierarchy: bank statements, contracts, sale documents and tax records
• Reasonableness testing against customer profile, declared income and transaction pattern
• Analysing third-party funding, shared payment instruments and linked customer accounts
• VIP customer reviews: expected play, credit arrangements and host interactions
• Escalating unverifiable explanations through documented challenge and approval routes
• Recording proportionality decisions without collecting unnecessary personal information

Participants can identify and control laundering risks in land-based casino operations.

• Cage procedures for cash buy-ins, chip redemptions and monetary instrument purchases
• Structuring indicators around reporting thresholds, linked visits and multiple cashiers
• Minimal-play patterns following high-value chip purchases or cash deposits
• Chip-walking, chip transfers and third-party redemption risk indicators
• Table-games observation records supporting unusual transaction investigations
• Casino credit, markers and front-money accounts within AML control frameworks
• Reconciling surveillance, cage, loyalty and gaming-floor data for investigations

Participants can detect financial-crime risks arising from remote gaming and payment activity.

• Remote onboarding controls: identity verification, liveness checks and device intelligence
• Deposit and withdrawal patterns indicating mule accounts or account takeover
• Payment-method risk: prepaid cards, e-wallets, virtual assets and chargebacks
• Bonus abuse indicators involving linked accounts, devices and payment credentials
• Proxy betting and collusive play signals within sportsbook and poker activity
• Geolocation controls for restricted jurisdictions and suspicious location changes
• Withdrawal controls for rapid cash-out, third-party payments and account changes

Participants can design and triage monitoring alerts using risk-based thresholds and scenarios.

• Scenario design using customer behaviour, transaction value, velocity and relationships
• Threshold rules calibrated for cash, chip, deposit and withdrawal activity
• Peer-group analysis comparing play patterns against similar customer segments
• Alert triage using risk scores, prior cases and linked-account information
• Reducing false positives through segmentation, suppression logic and quality review
• Case-management evidence logs capturing queries, documents, decisions and approvals
• Monitoring coverage tests for data completeness, timing and interface failures

Participants can investigate suspicious activity and prepare a defensible reporting rationale.

• Investigation planning: allegation, scope, evidence sources, ownership and deadlines
• Transaction timelines connecting deposits, wagers, wins, losses and withdrawals
• Reasonable-grounds analysis separating suspicion, proof and unsupported assumptions
• Suspicious activity narratives structured around who, what, when, where and why
• Tipping-off restrictions and controlled communications with customers and staff
• Management information for report volumes, ageing, outcomes and thematic trends
• Post-report account actions: monitoring, restrictions, exit decisions and record retention

Participants can manage sanctions, PEP and intermediary risks in gaming relationships.

• Sanctions screening for customers, beneficial owners, payees and connected parties
• Potential-match investigation using identifiers, ownership data and documented disposition
• PEP identification, senior approval and enhanced monitoring requirements
• Junket, affiliate and agent due diligence using ownership and reputation checks
• Third-party payment controls for corporate arrangements and customer representatives
• Adverse media assessment distinguishing credible allegations from unverified information
• Escalation protocols for sanctions hits, PEP changes and intermediary concerns

Participants can test AML controls and prioritise practical remediation actions.

• Control testing plans covering onboarding, monitoring, reporting and record retention
• Sample selection based on risk, transaction value, control failure and customer type
• Root-cause analysis using people, process, data, technology and governance categories
• Issue ratings based on regulatory impact, likelihood and remediation urgency
• Management action plans with owners, milestones, evidence and closure criteria
• Training matrices for cage staff, hosts, dealers, analysts and senior managers
• Ninety-day AML improvement plan aligned to residual-risk priorities