The Global Risks Alliance (GRA)
The research behind Fintech Nexus: the questions it asks, the methods it uses and how evidence is reviewed before it is published.
Fintech Nexus research is the evidence work behind the platform: questions such as payments and innovation and open finance, answered with payment and financial market technology as well as distributed ledgers and digital assets and reviewed before publication. Every result carries an evidence label, from observed to modelled or expert judgement, and missing data is shown as missing, never filled silently.
Fig.How a finding is reviewed before it is published. Design, not a record.
For professional research, in GRA's spatial-finance reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on East Africa; every other NASA layer, live feed and forecast waits in the layer list.
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Layers 2
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For professional research, in GRA's spatial-finance reading, the map opens on population density and night lights with night lights tonight from NASA GIBS, framed on East Africa; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
New payment services and resilience.
Data portability, privacy and access.
Digital market infrastructure and risks.
Financial model and decision risk.
Onboarding, fraud and exclusion.
Cloud, cybersecurity and vendors.
| Question | Evidence used |
|---|---|
| Where is provider concentration highest? | dependency maps, incident reports and inclusion data |
| Does digital inclusion survive disasters? | provider and data-centre geography |
| How will payment transparency change fraud? | dependency networks |
Fintech Nexus research concerns technology dependencies, payment transparency and inclusion under stress. It is written for payments and fintech risk officers and compliance and financial-crime teams, carries an evidence label on every value and never performs any institution's own analysis of legal opinions on authorisation.
Results are labelled as observed, officially reported, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Research integrity | Conduct of research in line with principles of reliability, honesty, respect and accountability, as the European Code of Conduct for Research Integrity sets them out. |
| Evidence label | A tag naming the kind of evidence, such as observed or modelled, that should survive every summary. |
| Reproducibility | Obtaining consistent results using the same data and analysis code as the original study. |
| Open banking | Open data sharing limited to payment accounts, as under the EU PSD2 regime. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
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.