Specialist risk communities
Some of the hardest risk questions cross every financial sector: how to model a rare, severe loss, how losses travel through a network, how climate and nature dependencies reach portfolios. The Global Risks Alliance (GRA) is considering a set of cross-sector specialist communities for the professions that answer them: actuaries, quantitative analysts, risk engineers, model validators and economists. These communities are proposed and in development. None is approved or open yet. This page is part of the specialist financial network.
- 01InstitutionThe Global Risks Alliance (GRA)
- 02Service levelR0: information and enquiries
- 03In briefThe short answer
- 04Why cross-sectorThe methods are shared even when the sectors differ
- 05Shared methodsThe quantitative core these communities share
- 06STEM commonsOne method description, many applications
- 07Proposed communitiesCommunities under consideration, all in development
GRA · Institution · service level R0
The short answer.
Specialist risk communities are cross-sector GRA communities under consideration for the professions that answer the hardest shared questions: actuaries, quantitative analysts, risk engineers, model validators and economists. The methods are shared even when sectors differ, and all of these communities are in development.
Financial centres and urban exposure in Egypt and the Nile Delta.
The cities where people, assets and financial activity concentrate, shown for Egypt and the Nile Delta as an example geography for this subject.
The methods are shared even when the sectors differ.
An extreme value model serves an insurer, a bank and a pension fund alike. A network contagion method applies to interbank lending, payment systems and supply chains. Cross-sector communities let specialists examine one another's methods without the sector boundary getting in the way.
The quantitative core these communities share.
| Method | Where it is used | Specialist community |
|---|---|---|
| Extreme value theory | Catastrophe tails, market crashes, operational loss | Actuarial and Quantitative Risk |
| Network contagion models | Interbank exposures, settlement, fire sales | Financial Stability |
| Catastrophe models | Insured and economic loss from natural perils | Reinsurance and Catastrophe |
| Scenario analysis | Climate, nature and macro-financial stress | Climate and Nature Financial Risk |
| Model validation | Every model above | AI and Financial Model Risk |
One method description, many applications.
Method pages are kept once, in the STEM Commons at GCRI, and applied on each platform. That lets a catastrophe modeller and a bank stress tester see they are using the same extreme value assumptions. See GCRI Systems Science and Modelling.
Communities under consideration, all in development.
- Actuarial and Quantitative RiskFocusThe shared quantitative core for insurance, banking, pensions and stability
- Financial StabilityFocusContagion, liquidity, nonbank intermediation and macro shocks
- Climate and Nature Financial RiskFocusPhysical, transition and ecosystem dependencies in finance
- AI and Financial Model RiskFocusValidation, third parties and human oversight of models
- Financial Cyber and Operational ResilienceFocusCritical services, digital dependency and recovery
- Financial Crime and Fraud RiskFocusFinancial integrity and customer harm
None of these communities is approved, active or open for participation. Each becomes a platform only after it passes a review of its field boundary, community, editors, evidence and operating ownership.
Who these communities are designed for.
Actuaries and quants
Probability, actuarial mathematics, extreme value theory and uncertainty quantification for losses that drive capital.
Risk and resilience engineers
Reliability, dependency mapping and recovery planning for operations and infrastructure that finance depends on.
Validators and economists
Independent model validation, macro-financial analysis and the evidence supervisors may draw on.
From proposal to established platform.
- 01
Field boundary
A clear statement of what the community covers and what belongs to an existing platform.
- 02
Community and editors
Named editors and a credible community of practitioners, admitted under published criteria.
- 03
Evidence and methods
Sources and methods traced to the STEM Commons stewarded by The Global Centre for Risk and Innovation (GCRI), such as extreme value theory and tail risk.
- 04
Operating ownership
An accountable owner, a competition-law design reviewed by counsel and a route for corrections.
Sector communities that are already established are grouped on insurance and banking, investment and markets and technology and operational risk.
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.
| Term | Definition |
|---|---|
| Actuarial science | The discipline that applies mathematics and statistics to assess risk in insurance, pensions and finance. |
| Generalised extreme value distribution | A family of probability distributions for the maximum of a sample, such as each year's peak flow, used to estimate return levels. |
| Contagion model | A model of how a state, such as failure or infection, spreads between connected nodes. |
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.
Questions and answers.
Can I join one of these communities now?
Do these communities award professional qualifications?
Why are some proposals linked if they are not open?
Can I propose another community?
Around GRA.
Start with an enquiry.
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.