O*NET-SOC code
13-2054.00

Analyze and measure exposure to credit and market risk threatening the assets, earning capacity, or economic state of an organization. May make recommendations to limit risk.

  • Data source: BLSPublished: 2026-08

    Very high· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.265

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value

    Source dataset (CSV download)

  • Data source: ILOPublished: 2025

    0.44–0.62· 3 ISCO-08 groups

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published

    Source dataset (PDF download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

ILO value for each linked ISCO-08 group
  • ISCO-08 2412Financial and Investment Advisers0.57
  • ISCO-08 2413Financial Analysts0.62
  • ISCO-08 3339Business Services Agents Not Elsewhere Classified0.44

Task-level exposure

Show 25 hidden tasks

30 rated tasks · 30 tasks with β ≥ 0.5 (100.0%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

  • Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
  • All rated tasks are in the O*NET 31.0 task list.
Source
OpenAI "GPTs are GPTs" exposure rubric
Release
gh-main-0471612
License
MIT License, Copyright (c) 2024 OpenAI

Tasks of O*NET-SOC 2010 occupations 13-2051.00 Financial Analysts; 13-2099.02 Risk Management Specialists, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk

Task (O*NET 20.1)Claude.aiRaw / share %
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.

13-2051.00

0.077324.9
Present oral or written reports on general economic trends, individual corporations, and entire industries.

13-2051.00

0.041813.4
Develop or implement risk-assessment models or methodologies.

13-2099.02

0.02799.0
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.

13-2051.00

0.02437.8
Monitor fundamental economic, industrial, and corporate developments by analyzing information from financial publications and services, investment banking firms, government agencies, trade publications, company sources, or personal interviews.

13-2051.00

0.02237.2
Recommend investments and investment timing to companies, investment firm staff, or the public.

13-2051.00

0.02156.9
Prepare plans of action for investment, using financial analyses.

13-2051.00

0.01886.0
Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions.

13-2051.00

0.01615.2
Conduct statistical analyses to quantify risk using statistical analysis software or econometric models.

13-2099.02

0.01143.7
Produce reports or presentations that outline findings, explain risk positions, or recommend changes.

13-2099.02

0.01083.5
Evaluate and compare the relative quality of various securities in a given industry.

13-2051.00

0.01003.2
Maintain input or data quality of risk management systems.

13-2099.02

0.00722.3
Identify and analyze areas of potential risk to the assets, earning capacity, or success of organizations.

13-2099.02

0.00632.0
Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.

13-2099.02

0.00411.3
Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.

13-2099.02

0.00411.3
Track, measure, or report on aspects of market risk for traded issues.

13-2099.02

0.00391.3
Provide statistical modeling advice to other departments.

13-2099.02

0.00311.0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (30)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)Type
Analyze areas of potential risk to the assets, earning capacity, or success of organizations.—
Analyze new legislation to determine impact on risk exposure.—
Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.—
Confer with traders to identify and communicate risks associated with specific trading strategies or positions.—
Consult financial literature to ensure use of the latest models or statistical techniques.—
Contribute to development of risk management systems.—
Determine potential environmental impacts of new products or processes on long-term growth and profitability.—
Develop contingency plans to deal with emergencies.—
Develop or implement risk-assessment models or methodologies.—
Devise scenario analyses reflecting possible severe market events.—
Devise systems or processes to monitor validity of risk assessments.—
Document, and ensure communication of, key risks.—
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.—
Evaluate and compare the relative quality of various securities in a given industry.—
Evaluate the risks and benefits involved in implementing green building technologies.—
Evaluate the risks related to green investments, such as renewable energy company stocks.—
Gather risk-related data from internal or external resources.—
Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.—
Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.—
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.—
Maintain input or data quality of risk management systems.—
Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.—
Monitor developments in the fields of industrial technology, business, finance, and economic theory.—
Prepare plans of action for investment, using financial analyses.—
Produce reports or presentations that outline findings, explain risk positions, or recommend changes.—
Provide statistical modeling advice to other departments.—
Recommend investments and investment timing to companies, investment firm staff, or the public.—
Recommend ways to control or reduce risk.—
Review or draft risk disclosures for offer documents.—
Track, measure, or report on aspects of market risk for traded issues.—

Occupation information

Employment outlook (BLS)

Employment, 2025
66K
Projected employment, 2035
71K
Change (2025–35)
+7.4%
Median annual wage, 2025
$117,330
Typical education needed for entry
Bachelor's degree
lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO codeKSCO titleRelationStatus
28299그 외 금융 및 보험 관련 전문가Related, not a matchconfirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

  • ISCO-08 2412Financial and Investment Advisers
  • ISCO-08 2413Financial Analysts
  • ISCO-08 3339Business Services Agents Not Elsewhere Classified

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

  • actuarial consultantESCO 2120.1Overlapping, not the same

    Actuarial consultants analyse, manage and provide guidance on financial impact of risks. They can work in fields related to insurance, pension, investment, banking, healthcare etc. Actuarial consultants apply technical and statistical models and theories to give strategic, commercial, and financial advice.

  • credit risk analystESCO 3312.4Overlapping, not the same

    Credit risk analysts manage individual credit risk and care for fraud prevention, business deal analysis, legal documents analysis and recommendations on the level of the risk.

  • financial analystESCO 2413.1Overlapping, not the same

    Financial analysts conduct economic research and elicit valuable analyses on financial matters such as profitability, liquidity, solvency, and asset management. They provide recommendations on financial matters for decision-making processes. Financial analysts work in both the public and the private sector.

  • insurance risk consultantESCO 3321.2Overlapping, not the same

    Insurance risk consultants prepare reports for insurance underwriters. For this purpose, they undertake surveys in order to determine the potential financial risk for personal products, properties or sites.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME codeROME title (French)Relation
M1228Gestionnaire de risques financiersThis occupation is broaderprovisional
C1202Analyste de crédits et risques bancairesRelated, not a matchprovisional
C1215Contrôleur / Contrôleuse de banqueRelated, not a matchprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 codeCNO-11 title (Spanish)Relation
2613Analistas financierosThis occupation is narrowerprovisional
2415Matemáticos y actuariosRelated, not a matchprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB codeKldB title (German)Relation
72144Finanzanalysten/-analystinnen - hoch komplexe TätigkeitenThis occupation is narrowerprovisional
41114Berufe in der Statistik - hoch komplexe TätigkeitenRelated, not a matchprovisional

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO codeJSCO title (Japanese)Relation
184金融・保険専門職業従事者This occupation is narrowerprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources