Financial Crime and Fraud Risk
The Global Risks Alliance (GRA)
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.
GRA · In development · service level R0
Money laundering risk is the risk that criminal proceeds are disguised and moved through financial and non-financial services. Launderers exploit opaque ownership, trade, professional services and virtual assets. Governments, AML supervisors, firm reporting officers and prosecutors decide the response under the FATF standards.
How a failure at one financial centre can spread through settlement links. Design links, not real dependencies.
The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Money laundering risk · Bank B monitoring · Today
red: accounts under review
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.
Funds enter the financial system, move through transactions designed to obscure their source, and return as apparently legitimate wealth. Each stage exploits different services.
Shell companies, trusts and nominees conceal who owns and benefits from assets. Beneficial ownership registers aim to make control visible.
Misinvoicing goods and services moves value across borders without moving money directly. Trade-based laundering is hard to detect from payment data alone.
Crypto-assets, mixers and unregulated exchanges offer speed and pseudonymity. The FATF travel rule extends information requirements to virtual asset transfers.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Layering | Moving funds through complex transactions to obscure their criminal source. |
| Mutual evaluation | A FATF peer review of a country's anti-money laundering and counter-terrorist financing system. |
| Trade-based money laundering | Moving value across borders by misrepresenting the price, quantity or quality of traded goods. |
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 | OFFICIAL |
| FATF effectiveness ratings by immediate outcome | rating, categorical | per mutual evaluation | FATF reports | OFFICIAL |
| Jurisdictions on FATF increased monitoring | count | three times a year | FATF public statements | OFFICIAL |
| Beneficial ownership register coverage | share of legal entities | periodic | Register statistics | REPORTED |
| Money laundering prosecutions and convictions | count | annual | Justice statistics | OFFICIAL |
| Value of assets confiscated | currency | annual | Justice statistics | OFFICIAL |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
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 |
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 |
Anti-money laundering researchers ask whether controls catch laundering or mainly generate process.
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.
Studying laundering methods from cases and evaluations. Cases reflect detected laundering.
Mapping ownership and transaction networks with network science. Ownership data is incomplete.
Assessing outcomes of controls, drawing on data engineering for data quality. Outcomes are hard to measure.
Analysing flows on public ledgers with distributed ledgers and digital assets methods. Attribution of addresses is uncertain.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.