GRA · Financial Crime and Fraud Risk
Spatial financeWhere capital meets hazard, exposure and transition
STEM foundation of Financial Crime and Fraud Risk
The science, technology, engineering and mathematics Financial Crime and Fraud Risk rests on. Each method has a canonical page in the STEM Commons, hosted by the Global Centre for Risk and Innovation (GCRI), and a page here on how it is applied in this field.
STEM foundation of Financial Crime and Fraud Risk in four parts.
The methods behind the field.
- 01Artificial intelligence and machine learningReal-time fraud scoring · Alert prioritisation · Fairness in fraud controlsSteward · Artificial Intelligence and Autonomous SystemsApplied here
- 02Network science and contagionMule network detection · Ownership chain analysis · Cross-institution patternsSteward · Systems Science and ModellingApplied here
- 03Data engineering, interoperability and stewardshipScreening data quality · Monitoring coverage checks · Retention and minimisationSteward · Data and ComputeApplied here
- 04Digital identity and public digital systemsAssurance levels for onboarding · Defending against deepfakes · Inclusion testingSteward · Digital Public InfrastructureApplied here
- 05Distributed ledgers and digital assetsBlockchain analytics · Travel rule implementation · Obfuscation techniquesSteward · Fintech NexusApplied here
The STEM methods Financial Crime and Fraud Risk applies, and why.
- Machine learning for fraud detectionRole in Financial Crime and Fraud RiskArtificial intelligence and machine learning are used to detect fraud, prioritise alerts, verify identities and find networks of suspicious accounts.
- Network analysis for financial crimeRole in Financial Crime and Fraud RiskNetwork science studies how accounts, people, companies and transactions connect.
- Data engineering for AML controlsRole in Financial Crime and Fraud RiskData engineering builds the pipelines, records and quality controls that financial crime systems depend on.
- Digital identity for due diligenceRole in Financial Crime and Fraud RiskDigital identity lets people prove who they are remotely and lets institutions verify them for due diligence.
- Blockchain analytics and crypto crimeRole in Financial Crime and Fraud RiskDistributed ledgers record crypto-asset transactions on public or permissioned chains.
Each Financial Crime and Fraud Risk method is described once in the STEM Commons at GCRI and applied here to financial crime under stress.
Grounding makes claims checkable.
When a finding names the methods it depends on, a reader can see its assumptions and limits, and an expert in that method can challenge it.
Where this page's references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Pages in STEM foundation of Financial Crime and Fraud Risk.
Artificial intelligence and machine learning for financial crime and fraud risk
MethodNetwork science and contagion for financial crime and fraud risk
MethodData engineering, interoperability and stewardship for financial crime and fraud risk
MethodDigital identity and public digital systems for financial crime and fraud risk
MethodDistributed ledgers and digital assets for financial crime and fraud risk
Questions and answers.
What is a steward platform?
Contribute evidence from this page.
Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- EmailGateway GW-GRASend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGlobal Risks AllianceSee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Bring an exposure or capital question to the Alliance.
Information and enquiries are open today. 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.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.