A-P08 · PROCESS · regionsGRA dossier · service level R0
GRAFinancial Crime and Fraud RiskIn development
Regions

Regional exposures

Regional work of Financial Crime and Fraud Risk across the six Consortium regions, each shown with its status. The regions are Africa, Asia-Pacific, Europe and Eurasia, Latin America and the Caribbean, the Middle East and North Africa, and North America.

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Publisher
The Global Risks Alliance
Field
Financial stability, Cyber and digital resilience, Governance and institutions
Status
In development
Service level
R0: information and enquiries

Programme portfolio

Financial crime · Regional exposures

Portfolio viewGRA · Financial Crime and Fraud Risk

Where the work sits

placeholder geography

Portfolio

Correspondent networkFIU feedback loopTestBlocked
Trade finance deskFraud and AML convergenceBuildBlocked
Retail channelsCustomer risk model refreshBuildOn track
Sanctions screeningScenario tuningTestBlocked

Decisions waiting on owners

  1. D-1FIU feedback loopSanctions officer · decision record13 d
  2. D-2Fraud and AML convergenceSanctions officer · decision record3 d
  3. D-3Customer risk model refreshFinancial intelligence unit liaison · decision record4 d

Financial Crime and Fraud Risk · Programme portfolioProgramme portfolio, in outline: domain structure with placeholder names and illustrative values, not a record.

01In brief

The short answer.

The Financial Crime and Fraud Risk regions page maps its work on financial stability across the six Consortium regions: Africa, Asia and the Pacific, Europe and Eurasia, Latin America and the Caribbean, the Middle East and North Africa, and North America. A regional entry appears only where a programme record supports it, with its status.

02Canvas

Scoping to review.

Canvas · scoping to reviewDesign, not a record
Regional exposures: the policy cycleA problem reaches the agenda, options are formulated and appraised, consultation tests them, the mandate holder decides, implementation and monitoring follow, and evaluation feeds the next agenda. Design of the process, not a record of a run.

Fig.A programme from scoping to the owner's decision. Design, not a record.

03Geography

Activity and exposure in Mexico.

Night-time lights and population, a proxy for economic activity, with the floods and fires that put assets at risk, framed on Mexico; each layer is a dated NASA product.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Activity and exposure

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Night-time lights and population, a proxy for economic activity, with the floods and fires that put assets at risk, framed on Mexico.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Natural EarthSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026

04Scope

Regions in Financial Crime and Fraud Risk.

  1. 01

    Payments fraud

    Fraud in digital transactions.

  2. 02

    Identity fraud

    Identity compromise and synthetic identities.

  3. 03

    Money laundering risk

    AML typologies and governance.

  4. 04

    Suspicious activity controls

    Investigation responsibility and safeguards.

  5. 05

    Consumer scams

    Scam harm and protective controls.

  6. 06

    Financial sanctions risk

    Due diligence and exclusion policies.

05Regional view

Financial Crime and Fraud Risk by region.

Regional features in Financial Crime and Fraud Risk are summarised from public records.

RegionFeature
EuropeAMLA build-up
AmericasRemittance corridors
AsiaScam centres
AfricaMobile money

Regional differences matter for Financial Crime and Fraud Risk because FATF standards are adopted at different speeds, and hazards and market structure differ. A regional entry would cite public typologies and statistics.

06Status

Work is shown as its record stands.

Programmes are listed as exploring, forming, constituted, active, paused or archived. Country and regional entries appear when a programme record supports them.

All programmes in Financial Crime and Fraud Risk

07Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
SubsidiarityThe principle that a decision is taken at the lowest level able to take it well, with a higher level acting only where the objective cannot be achieved closer to the people concerned; the Treaty on European Union states it.
Multi-level governanceShared decision-making across local, regional, national and international levels of government.
Programme statusThe recorded state of a programme on Nexus pages: exploring, forming, constituted, active, paused or archived. A plan is never presented as an activity.
08Sources

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.

09Questions

Questions and answers.

How do I propose work at this level?
Write to contact@therisk.global or a regional desk. A proposal receives a reference.
Related

Around Financial Crime and Fraud Risk.

Financial Crime and Fraud Risk

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