GRA · Financial Crime and Fraud Risk
Spatial financeWhere capital meets hazard, exposure and transition
Financial sanctions risk
Financial sanctions freeze assets and restrict dealings with listed persons, entities and sometimes whole sectors or countries. Institutions screen customers and payments and must look through ownership and control. Evasion uses front companies, intermediaries, trade and virtual assets. This page sets out how sanctions risk arises, how compliance is measured, and which authorities and institutions decide.
Financial sanctions risk on the record.
Financial sanctions risk: how the risk develops.
Due diligence and exclusion policies. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Regimes differ and change
UN, EU, UK, US and other regimes list different targets with different rules, and lists change quickly. Firms operating across jurisdictions must reconcile them.
Ownership and control hide targets
Entities owned or controlled by listed persons are often caught even if not named. Opaque ownership makes this hard to determine.
Evasion through intermediaries
Transshipment, front companies and third-country intermediaries route prohibited trade and payments. Detection needs trade and payment data together.
Screening quality decides exposure
Name screening depends on data quality, transliteration and matching rules. Too loose and alerts swamp analysts; too strict and matches are missed.
What financial sanctions 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 financial sanctions risk reaches credit, market, underwriting, liquidity and operational risk, and feeds back.
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 |
|---|---|---|---|---|
| Designations by regime | count of listed persons and entities | continuous | Authority sanctions lists | Published statistics |
| Sanctions enforcement actions | count and penalties | annual | Enforcement authority records | Published statistics |
| Screening alert volumes | alerts per thousand transactions | periodic | Firm data | DECLARED |
| Assets frozen | currency | periodic | Government reports | Published statistics |
| Voluntary self-disclosures of breaches | count | annual | Enforcement records | Published statistics |
| Export control and sanctions evasion alerts issued | count | annual | Government advisories | Published statistics |
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 |
|---|---|---|
| OFAC Specially Designated Nationals list and enforcement information | United States sanctions list and penalties | Public domain |
| UN Security Council Consolidated List | UN sanctions designations | Public, UN terms |
| EU consolidated list of financial sanctions | EU designations | Free, EU reuse terms |
| UK OFSI consolidated list and enforcement reports | UK designations and penalties | Open Government Licence |
| OpenSanctions dataset | Aggregated sanctions and politically exposed persons data | CC BY-NC for non-commercial use, commercial licence otherwise |
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 |
|---|---|---|
| Sanctions authorities | Whom to designate, license and penalise | Intelligence, policy aims and enforcement evidence |
| Firm sanctions compliance functions | How to screen, investigate and escalate | List data, ownership information and alert outcomes |
| Boards | Which jurisdictions and activities to avoid | Sanctions exposure and enforcement trends |
| Trade and customs authorities | How to detect evasion through trade | Trade data and advisories |
Outputs this topic produces
- Guide to major sanctions regimes and their differences
- Brief on ownership and control tests
- Method note on screening quality and name matching
- Questions for boards on sanctions risk appetite
What experts ask.
Sanctions researchers ask how compliance works when regimes overlap and change quickly.
- How do multiple, overlapping sanctions regimes affect institutions operating across jurisdictions?
- How effective is screening, and how are false positives and negatives managed?
- How do evaders use ownership structures, intermediaries and trade to circumvent sanctions?
- How do institutions decide on exclusion policies that go beyond legal requirements?
- How do sanctions obligations interact with competition law when firms discuss common approaches?
Legal obligation, not industry choice.
Sanctions are imposed by governments and international bodies, each with its own lists, scope and enforcement. Institutions must comply with the regimes that apply to them, which may include regimes with extraterritorial reach. Screening matches names against lists, but evaders use front companies, complex ownership, false documentation and trade misdescription to disguise sanctioned parties.
Some institutions adopt exclusion policies beyond legal requirements, for risk or reputational reasons. Such decisions must be made individually by each firm. Industry discussion of sanctions is lawful when it concerns understanding obligations and typologies, but coordinated decisions by competitors to exclude particular customers or markets, beyond what the law requires, could raise competition concerns.
How the evidence is built, and where it stops.
- 01
Regime comparison
Comparing sanctions regimes and their scope. Regimes change frequently.
- 02
Screening analysis
Evaluating name matching and ownership analysis with data engineering. Data quality limits accuracy.
- 03
Evasion typologies
Studying evasion methods with network science. Detected cases may not be representative.
- 04
Legal analysis
Examining interaction of sanctions and competition law. Requires jurisdiction-specific counsel.
How it is studied, and what the methods cannot say.
- 01Data engineering, interoperability and stewardshipScreening data quality · Monitoring coverage checks · Retention and minimisationApplied here
- 02Network science and contagionMule network detection · Ownership chain analysis · Cross-institution patternsApplied 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
Where this page leads across the Consortium.
Questions and answers.
What does an asset freeze mean?
What is the ownership rule?
How do sanctions regimes differ?
Can GRA tell firms whom to exclude?
Does GRA provide sanctions screening?
Why do sanctions and competition law meet?
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