GRA · Financial Crime and Fraud Risk
Spatial financeWhere capital meets hazard, exposure and transition
Money laundering risk
Money laundering disguises the criminal origin of funds so they can be used freely. Launderers exploit banks, payment firms, trade, real estate, professional services and virtual assets, and move value across borders. The FATF standards set the global response. This page sets out how laundering methods work at a general level, how risk is assessed and measured, and who decides on controls and enforcement.
Money laundering risk on the record.
Money laundering risk: how the risk develops.
AML typologies and governance. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Placement, layering, integration
Funds enter the financial system, move through transactions designed to obscure their source, and return as apparently legitimate wealth. Each stage exploits different services.
Opaque ownership hides control
Shell companies, trusts and nominees conceal who owns and benefits from assets. Beneficial ownership registers aim to make control visible.
Trade moves value
Misinvoicing goods and services moves value across borders without moving money directly. Trade-based laundering is hard to detect from payment data alone.
Virtual assets add channels
Crypto-assets, mixers and unregulated exchanges offer speed and pseudonymity. The FATF travel rule extends information requirements to virtual asset transfers.
Alert triage and investigations.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Alert triage and investigations
Money laundering risk · Bank B monitoring · Today
- Alerts today1070
- Escalated to cases5pct of alerts
- Open cases older than 30 days81Watch
- Reports filed this month74Normal
Alert queue
- HRapid in-out through new accountsScenario TM-07 · score 852 h
- MTrade invoice price outlierScenario TB-03 · score 807 h
- MStructuring below thresholdScenario TM-02 · score 654 h
- LName match, sanctions listLikely false positive2 h
Counterparty network, case CS-3697
red: accounts under review
Case path
- Alertscenario
- Triageanalyst
- Investigatecase
- DecideMLRO
- Reportto FIU
- Feedbacktuning
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| National risk assessment published | yes or no, with date | on publication | Government records | Published statistics |
| FATF effectiveness ratings by immediate outcome | rating, categorical | per mutual evaluation | FATF reports | Published statistics |
| Jurisdictions on FATF increased monitoring | count | three times a year | FATF public statements | Published statistics |
| Beneficial ownership register coverage | share of legal entities | periodic | Register statistics | REPORTED |
| Money laundering prosecutions and convictions | count | annual | Justice statistics | Published statistics |
| Value of assets confiscated | currency | annual | Justice statistics | Published statistics |
What money laundering risk means for exposure, loss and capital.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
Transmission channels
How a shock in money laundering risk reaches credit, market, underwriting, liquidity and operational risk, and feeds back.
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| FATF mutual evaluation reports and follow-up reports | Assessment of national AML/CFT systems | Free, FATF terms |
| FATF public statements on high-risk and monitored jurisdictions | Lists of jurisdictions with strategic deficiencies | Free, FATF terms |
| National risk assessments | Country assessments of money laundering threats and vulnerabilities | Public records, terms per government |
| Basel AML Index | Composite country risk index for money laundering | Free to read, terms to check |
| UNODC research on illicit financial flows | Estimates and methods for illicit flows | Free, UN terms |
Who decides, and what the evidence serves.
Financial Crime and Fraud Risk prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Governments and FATF members | How to implement and assess the standards | Mutual evaluation findings and national risk assessments |
| AML supervisors | Which institutions and sectors to supervise most intensively | Risk assessments and supervisory findings |
| Firm money laundering reporting officers and boards | What risk appetite and controls to set | Enterprise risk assessment and typologies |
| Prosecutors and asset recovery agencies | Which cases to pursue and assets to confiscate | Intelligence and case evidence |
Outputs this topic produces
- Guide to the FATF standards and mutual evaluations
- Brief on beneficial ownership transparency
- Method note on reading national risk assessments
- Questions for boards on enterprise-wide risk assessment
What experts ask.
Anti-money laundering researchers ask whether controls catch laundering or mainly generate process.
- Which laundering methods are prevalent, and how do they adapt to controls?
- How effective are anti-money laundering controls at detecting and disrupting laundering?
- How is the risk-based approach applied in practice, and does it focus effort on real risk?
- How do beneficial ownership transparency and professional enablers affect laundering?
- What are the costs and unintended consequences of anti-money laundering controls?
Placement, layering, integration and enablers.
Laundering is often described in three stages: placing criminal proceeds into the financial system, layering them through transactions to obscure their origin, and integrating them into the legitimate economy. Methods include cash-intensive businesses, trade-based laundering, shell companies and trusts, real estate, mule accounts and digital assets. Professional enablers, such as lawyers, accountants and company service providers, can provide the structures that make laundering possible.
Anti-money laundering frameworks rely on a risk-based approach, beneficial ownership transparency, transaction monitoring and suspicious activity reporting. Research and evaluations suggest that controls detect only a fraction of laundering, that reporting volumes are high while useful intelligence is limited, and that compliance costs are significant. Improving effectiveness is a central theme.
How the evidence is built, and where it stops.
- 01
Typology research
Studying laundering methods from cases and evaluations. Cases reflect detected laundering.
- 02
Network analysis
Mapping ownership and transaction networks with network science. Ownership data is incomplete.
- 03
Effectiveness evaluation
Assessing outcomes of controls, drawing on data engineering for data quality. Outcomes are hard to measure.
- 04
Digital asset analysis
Analysing flows on public ledgers with distributed ledgers and digital assets methods. Attribution of addresses is uncertain.
How it is studied, and what the methods cannot say.
- 01Network science and contagionMule network detection · Ownership chain analysis · Cross-institution patternsApplied here
- 02Data engineering, interoperability and stewardshipScreening data quality · Monitoring coverage checks · Retention and minimisationApplied here
- 03Artificial intelligence and machine learningReal-time fraud scoring · Alert prioritisation · Fairness in fraud controlsApplied here
- 04Distributed ledgers and digital assetsBlockchain analytics · Travel rule implementation · Obfuscation techniquesApplied here
Questions and answers.
What does the FATF do?
What is beneficial ownership?
What is the travel rule?
How much money laundering is detected?
What is beneficial ownership transparency?
Does GRA provide anti-money laundering compliance services?
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