Financial Crime Intelligence Training Course

Participants can classify major financial crime threats and identify their observable indicators.

• Predicate offences generating illicit funds, including fraud, corruption and trafficking
• Money laundering placement, layering and integration indicators in account activity
• Terrorist financing patterns involving small values, charities and intermediaries
• Sanctions evasion methods involving ownership concealment and trade documentation
• Cyber-enabled fraud typologies including business email compromise and account takeover
• Mule accounts, funnel accounts and rapid movement payment patterns

Participants can prioritise intelligence work using threat, vulnerability, harm and confidence criteria.

• FATF risk-based approach applied to intelligence prioritisation decisions
• Threat, vulnerability and consequence factors within financial crime risk assessments
• Case triage criteria based on harm, urgency, value and connectivity
• Intelligence requirements derived from risk assessments and control weaknesses
• Prioritisation matrices separating immediate action from longer-term collection
• Documenting rationale when competing cases require scarce analytical resources

Participants can define answerable intelligence questions and prepare proportionate collection plans.

• Key intelligence questions framed around decisions, subjects and suspected activity
• Specific information requirements broken into observable, testable collection tasks
• Collection plans matching sources, owners, deadlines and legal constraints
• Internal data sources including KYC, alerts, complaints and investigations
• Open-source intelligence boundaries, provenance checks and retention requirements
• Collection gaps and alternative sources recorded before investigative escalation

Participants can assess information quality and communicate evidential limitations clearly.

• 5x5x5 grading system for source reliability and information credibility
• Direct observation, hearsay and inference distinguished within intelligence records
• Corroboration assessed through independent sources, records and transactional evidence
• Provenance trails documenting origin, handling, transformation and access restrictions
• Bias, deception and incomplete reporting considered during source evaluation
• Confidence statements calibrated to evidence quality and analytical certainty

Participants can build structured profiles of people, companies and beneficial ownership relationships.

• Entity profiles combining identity, occupation, ownership, geography and expected activity
• Customer due diligence records tested against observed account behaviour
• Beneficial ownership structures mapped through companies, trusts and nominees
• Adverse media screening assessed for identity resolution and relevance
• PEP, sanctions and high-risk jurisdiction factors incorporated into profiles
• Profile narratives separate verified facts, allegations and analytical assessments

Participants can identify material patterns, anomalies and explanations within transaction data.

• Transaction baselines built from customer purpose, counterparties and expected activity
• Time-series review identifies velocity, seasonality and unexplained behavioural changes
• Flow-of-funds analysis traces origin, destination, value and transaction purpose
• Structuring indicators include threshold avoidance, fragmentation and coordinated deposits
• Round-dollar payments, pass-through activity and rapid withdrawals assessed
• Narrative payment fields compared with invoices, contracts and customer profile

Participants can compare declared circumstances with observed assets, spending and financial flows.

• Income and expenditure analysis identifies unexplained wealth and affordability gaps
• Source-of-funds claims tested against documents, timing and transaction patterns
• Lifestyle indicators compared with salary, business revenue and declared assets
• Cash-intensive business profiles assessed using turnover, margins and deposits
• Net-worth statements distinguish assets, liabilities, income and beneficial interests
• Financial profiles identify questions requiring further records or explanation

Participants can chart relationships and identify significant network structures from case data.

• Association charts map people, entities, accounts, devices and addresses
• Link types labelled by ownership, control, communication, payments or shared attributes
• Network hubs, brokers and clusters identified through relationship patterns
• Temporal link analysis distinguishes historic associations from current connections
• Chart annotations record source references, confidence levels and analytical caveats
• Visual charts converted into concise findings and investigative questions

Participants can reduce analytical bias by testing evidence against competing explanations.

• Analysis of Competing Hypotheses compares evidence against alternative explanations
• Evidence matrices distinguish diagnostic information from merely consistent information
• Key assumptions checks expose unsupported beliefs within case assessments
• Chronologies sequence events, transactions, communications and decision points
• Indicators and warnings developed for emerging fraud and laundering patterns
• Devil's advocacy challenges premature conclusions and confirmation bias

Participants can analyse fraud referrals for modus operandi, victim impact and control failures.

• Fraud triangle assessed through pressure, opportunity and rationalisation indicators
• Modus operandi analysis identifies methods, access routes and recurring weaknesses
• Victimology examines target selection, vulnerability and exploitation patterns
• Account takeover signals include credential changes, device anomalies and beneficiary amendments
• Business email compromise flows traced through suppliers, invoices and payment approvals
• Internal fraud indicators linked to access rights, overrides and segregation failures

Participants can assess laundering indicators and develop intelligence leads from financial activity.

• Layering methods assessed through multiple transfers, entities and jurisdictions
• Trade-based money laundering indicators include pricing anomalies and document mismatches
• Professional enablers examined through services, client accounts and opaque structures
• Cash movement patterns linked to informal value transfer and conversion methods
• Virtual asset activity assessed through exchange exposure and wallet transaction trails
• Laundering hypotheses distinguish criminal proceeds from legitimate commercial explanations

Participants can use open sources ethically to corroborate identities, relationships and activity.

• Open-source research plans define subjects, questions, sources and recording standards
• Corporate registries reveal directorships, ownership changes and registered addresses
• Social media evidence assessed for authenticity, date, identity and relevance
• Web searches preserve search terms, timestamps, URLs and captured content
• Domain registration and website analysis identify connected businesses and infrastructure
• Privacy, data protection and platform terms considered before collection

Participants can convert intelligence findings into focused and proportionate investigative plans.

• Case hypotheses translated into objectives, lines of enquiry and decision points
• Investigation plans assign actions, owners, evidence needs and target dates
• Financial records requests scoped by account, period, subject and purpose
• Preservation actions protect transaction data, communications and digital evidence
• Escalation thresholds distinguish monitoring, investigation, reporting and account restrictions
• Case logs record actions, decisions, rationale and outstanding intelligence gaps

Participants can handle financial crime intelligence with appropriate legal, ethical and privacy controls.

• Purpose limitation applied when collecting and sharing personal information
• Data minimisation reduces unnecessary collection within intelligence case files
• Need-to-know access controls protect sensitive intelligence and investigation records
• Suspicion thresholds distinguished from proof standards and disciplinary findings
• Privileged, confidential and legally restricted material identified before dissemination
• Audit trails demonstrate lawful handling, review and retention decisions

Participants can produce concise intelligence products that support operational and strategic decisions.

• Intelligence report structures separate facts, analysis, assessment and recommendations
• Executive summaries state the issue, judgement, confidence and required decision
• BLUF writing places the principal finding before supporting detail
• Source references enable reviewers to trace claims to underlying evidence
• Visual exhibits use timelines, charts and transaction tables purposefully
• Quality assurance checks accuracy, relevance, proportionality and disclosure risks

Participants can prepare evidence-led internal escalations and reporting recommendations.

• Suspicion narratives explain who, what, when, where, why and how
• Transaction sequences selected for materiality, clarity and evidential value
• Subject identifiers checked against records before report submission
• Reasonable grounds for suspicion documented without asserting criminal proof
• Tipping-off risks considered during customer contact and account actions
• Internal escalation packs align investigative findings with reporting decisions

Participants can develop strategic assessments that inform financial crime prevention priorities.

• Problem profiles define threat actors, methods, victims and enabling conditions
• Strategic assessments combine case trends, control data and external intelligence
• Trend analysis distinguishes genuine pattern changes from reporting-volume fluctuations
• Risk indicators prioritised by impact, likelihood, detectability and control gaps
• Prevention recommendations target products, processes, systems and staff behaviours
• Strategic briefings communicate uncertainty, assumptions and collection priorities

Participants can review intelligence products for accuracy, fairness, defensibility and operational value.

• Peer review tests factual accuracy, logic, sourcing and recommendation quality
• Red-team review challenges conclusions, omissions and untested alternative explanations
• Analytical standards assess relevance, timeliness, objectivity and traceability
• Feedback logs capture corrections, lessons and recurring quality defects
• Decision outcomes used to evaluate intelligence product usefulness and impact
• Quality controls embedded at collection, analysis, review and dissemination stages

Participants can build, review and present a complete financial crime intelligence case file with defensible findings and recommendations.

• Initial referral converted into intelligence questions, risks and investigative priorities
• Collection plan identifies required records, sources, owners and deadlines
• Entity profile integrates customer data, ownership, adverse media and relationships
• Transaction analysis identifies material flows, anomalies and unexplained activity
• Hypothesis assessment tests laundering, fraud and legitimate activity explanations
• Network chart demonstrates connected parties, accounts, intermediaries and confidence levels
• Final briefing presents findings, limitations, escalation options and recommended actions