Financial Crime Compliance Training Course

Participants can build and document a risk-based assessment covering products, customers, channels, geographies and controls.

• Inherent risk assessment across customer, product, geography and channel factors
• Risk appetite statements linked to prohibited, restricted and accepted relationships
• Scoring methodology combining likelihood, impact, control effectiveness and residual exposure
• Data inventories identifying source systems, gaps, ownership and refresh cycles
• Control mapping connects risks, preventive controls, detective controls and owners
• Heat maps supported by documented assumptions, evidence sources and challenge records

Participants can design proportionate customer due diligence workflows and document onboarding decisions.

• Customer identification programme requirements for individuals, entities and legal arrangements
• Verification methods using reliable, independent documents, data and source records
• Purpose and intended nature captured through expected activity profiles
• Risk-rating models assign customer scores using weighted risk indicators
• Periodic review frequencies determined by risk rating and trigger events
• Onboarding decision records document evidence, exceptions, approvals and conditions

Participants can identify beneficial owners, assess ownership structures and escalate opacity risks.

• Beneficial ownership thresholds applied alongside control, voting rights and influence
• Ownership charts trace subsidiaries, trusts, nominees and cross-border holding companies
• Source-of-wealth enquiries distinguish asset origin from transaction funding source
• Corporate registries assessed for reliability, recency, coverage and conflicting information
• Red flags identify shell companies, circular ownership and unexplained intermediaries
• Escalation memoranda present unresolved ownership concerns and recommended risk treatment

Participants can apply enhanced due diligence to politically exposed persons and other high-risk customers.

• PEP identification includes domestic, foreign, international organisation and family connections
• Enhanced due diligence establishes source of wealth and source of funds
• Senior management approval requirements documented before higher-risk relationship acceptance
• Adverse media assessment distinguishes allegations, corroboration, relevance and recency
• Ongoing monitoring plans reflect customer profile, expected activity and risk triggers
• Exit decisions consider legal obligations, customer fairness and suspicious activity concerns

Participants can assess sanctions exposure and manage screening alerts through documented escalation.

• Sanctions regimes compared across United Nations, OFAC, EU and UK lists
• Name screening matches assessed using identifiers, aliases, transliteration and false-positive logic
• Ownership and control analysis applies applicable sanctions aggregation principles
• Payment screening reviews parties, banks, vessels, goods and narrative fields
• Trade finance red flags identify diversion, dual-use goods and documentary discrepancies
• Sanctions escalation records preserve rationale, approvals, holds and reporting decisions

Participants can design transaction monitoring scenarios aligned to risk assessment findings and typologies.

• Transaction monitoring coverage maps risks to scenarios, data and investigation queues
• Scenario design uses thresholds, velocity, peer groups and behavioural baselines
• Typology libraries cover structuring, mule activity, trade laundering and layering
• Segmentation separates retail, corporate, correspondent and high-net-worth customer behaviour
• Alert tuning balances detection value, false positives and investigator capacity
• Change governance documents scenario amendments, testing results and approval records

Participants can triage alerts, conduct proportionate reviews and create defensible case records.

• Triage rules prioritise alerts by risk score, urgency and potential harm
• Case management workflows define assignment, ageing, escalation and quality assurance
• Investigative narratives link facts, analysis, evidence and disposition rationale
• Transaction review compares activity against customer profile and expected behaviour
• Reasonable grounds assessments distinguish suspicion from proof and unsupported inference
• Quality assurance sampling identifies weak rationale, missed evidence and inconsistent decisions

Participants can prepare clear suspicious activity reports and manage post-reporting obligations.

• Suspicious activity report narratives state who, what, when, where, why and how
• Chronologies organise transactions, customer events, communications and investigative actions
• Supporting evidence indexes preserve documents, account data and system records
• Tipping-off restrictions guide internal communication, customer contact and account actions
• Defence against money laundering requests assessed under applicable legal procedures
• Post-report monitoring plans address continuing activity, account restrictions and exit decisions

Participants can assess fraud threats and design preventive, detective and responsive controls.

• Fraud risk assessments examine incentives, opportunities, rationalisation and control weaknesses
• Fraud triangle analysis applied to payment, procurement and employee misconduct cases
• Preventive controls include segregation, authentication, approval limits and vendor validation
• Detective analytics identify duplicate payments, account takeover and unusual refunds
• Incident response plans assign containment, evidence preservation, recovery and notification actions
• Fraud loss data supports root-cause analysis, control remediation and trend reporting

Participants can assess third-party corruption risk and define appropriate due diligence and controls.

• ISO 37001 principles inform anti-bribery management system control design
• Third-party risk segmentation considers services, geography, government touchpoints and remuneration
• Due diligence reviews ownership, reputation, capability, conflicts and adverse media
• Contract clauses address anti-bribery commitments, audit rights and termination triggers
• Payment controls test invoices, commissions, expenses and unusual payment instructions
• Gifts and hospitality registers support approval, aggregation and conflict detection

Participants can plan financial crime investigations and maintain evidence suitable for review.

• Investigation plans define allegations, scope, hypotheses, evidence and reporting lines
• Evidence preservation protects records, devices, communications and transaction data
• Chain of custody logs record collection, transfer, storage and access
• Interview planning uses issue trees, chronology analysis and corroboration questions
• Privilege considerations distinguish legal advice, factual records and investigation materials
• Investigation reports separate findings, evidence, limitations, conclusions and remediation

Participants can evaluate data quality, automated decision controls and model governance requirements.

• Data lineage traces customer and transaction fields from source to report
• Data quality controls test completeness, accuracy, timeliness, validity and uniqueness
• Screening model validation reviews matching logic, calibration and outcome testing
• Machine learning governance documents training data, explainability, bias and human oversight
• Access controls restrict sensitive investigations, sanctions decisions and customer information
• Vendor oversight assesses service levels, model changes, incidents and audit rights

Participants can test financial crime controls and report design or operating failures clearly.

• Control design assessment tests whether procedures address stated risk causes
• Operating-effectiveness testing selects samples, evidence, period coverage and exceptions
• Walkthroughs trace end-to-end onboarding, screening, monitoring and escalation processes
• Key control indicators measure backlog, ageing, quality failures and overdue reviews
• Issue management assigns root causes, owners, due dates and validation steps
• Second-line challenge documents management responses, residual exposure and acceptance decisions

Participants can prepare governance reporting and support credible regulatory engagement.

• Management information combines risk metrics, control indicators, incidents and remediation status
• Board reports explain material exposure, trends, decisions and required actions
• Risk and control self-assessments align business attestations with supporting evidence
• Regulatory examination packs organise policies, testing, cases, training and governance minutes
• Remediation programmes sequence actions by risk, dependency, owner and delivery date
• Committee terms of reference define quorum, challenge, escalation and decision authority

Participants can evaluate changing financial crime threats and prioritise programme improvements.

• Virtual asset risks include mixers, unhosted wallets, fraud and sanctions evasion
• Instant payment controls address mule networks, authorised push payment and velocity
• Trade-based laundering indicators connect invoices, shipping data and value anomalies
• Environmental crime proceeds examined through commodities, permits and beneficial ownership
• Horizon scanning links regulatory changes, criminal typologies and internal incidents
• Prioritisation matrices rank improvements by risk reduction, effort, cost and dependency

Participants can build, review and present a complete risk-based financial crime compliance programme for a defined organisation.

• Programme scope defines legal entities, products, jurisdictions and customer segments
• Risk assessment quantifies inherent exposure, control effectiveness and residual priorities
• Control matrix assigns preventive, detective, corrective controls and accountable owners
• Monitoring design specifies scenarios, data inputs, thresholds, triage and escalation
• Governance pack presents metrics, issues, decisions, resourcing and implementation milestones
• Peer review challenges assumptions, evidence, proportionality and regulatory defensibility