Financial Risk Specialists
Business and Financial Operations Occupations- 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 highGroup-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
- Data source: AnthropicPublished: 2026-03
0.265
0.000Range of values carried here0.745Scale, 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
- 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
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
Exposed tasks only30 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 % | APIRaw / share % |
|---|---|---|
Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions.13-2051.00 | 0.114041.2 | 0.098642.0 |
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.13-2051.00 | 0.035412.8 | 0.027411.7 |
Recommend investments and investment timing to companies, investment firm staff, or the public.13-2051.00 | 0.02709.8 | 0.023910.2 |
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 | 0.02378.6 | 0.027011.5 |
Develop or implement risk-assessment models or methodologies.13-2099.02 | 0.01635.9 | 0.01395.9 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.13-2051.00 | 0.01485.3 | 0.00391.7 |
Produce reports or presentations that outline findings, explain risk positions, or recommend changes.13-2099.02 | 0.01154.2 | 0.00361.5 |
Present oral or written reports on general economic trends, individual corporations, and entire industries.13-2051.00 | 0.00933.4 | 0.00421.8 |
Evaluate and compare the relative quality of various securities in a given industry.13-2051.00 | 0.00732.6 | 0.01144.9 |
Identify and analyze areas of potential risk to the assets, earning capacity, or success of organizations.13-2099.02 | 0.00401.4 | —0 |
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 | 0.00301.1 | 0.00271.1 |
Prepare plans of action for investment, using financial analyses.13-2051.00 | 0.00281.0 | 0.00150.6 |
Conduct statistical analyses to quantify risk using statistical analysis software or econometric models.13-2099.02 | 0.00240.9 | 0.00281.2 |
Provide statistical modeling advice to other departments.13-2099.02 | 0.00230.8 | —0 |
Maintain input or data quality of risk management systems.13-2099.02 | 0.00150.5 | 0.00813.4 |
Confer with traders to identify and communicate risks associated with specific trading strategies or positions.13-2099.02 | 0.00150.5 | 0.00291.2 |
Track, measure, or report on aspects of market risk for traded issues. | —0 | 0.00291.2 |
| Not observed on any surface — 25 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Monitor developments in the fields of industrial technology, business, finance, and economic theory. | —0 | —0 |
Determine the prices at which securities should be syndicated and offered to the public. | —0 | —0 |
Contact brokers and purchase investments for companies, according to company policy. | —0 | —0 |
Collaborate with investment bankers to attract new corporate clients to securities firms. | —0 | —0 |
Conduct financial analyses related to investments in green construction or green retrofitting projects. | —0 | —0 |
Determine the financial viability of alternative energy generation or fuel production systems, based on power source or feedstock quality, financing costs, potential revenue, and total project costs. | —0 | —0 |
Evaluate financial viability and potential environmental benefits of cleantech innovations to secure capital investments from sources such as venture capital firms and government green fund grants. | —0 | —0 |
Forecast or analyze financial costs associated with climate change or other environmental factors, such as clean water supply and demand. | —0 | —0 |
Identify potential financial investments that are environmentally sound, considering issues such as carbon emissions and biodiversity. | —0 | —0 |
Research and recommend environmentally-related financial products, such as energy futures, water rights, carbon credits, government environmental funds, and cleantech industry funds and company stocks. | —0 | —0 |
Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations. | —0 | —0 |
Develop contingency plans to deal with emergencies. | —0 | —0 |
Devise scenario analyses reflecting possible severe market events. | —0 | —0 |
Analyze new legislation to determine impact on risk exposure. | —0 | —0 |
Recommend ways to control or reduce risk. | —0 | —0 |
Plan, and contribute to development of, risk management systems. | —0 | —0 |
Gather risk-related data from internal or external resources. | —0 | —0 |
Document, and ensure communication of, key risks. | —0 | —0 |
Devise systems and processes to monitor validity of risk modeling outputs. | —0 | —0 |
Review or draft risk disclosures for offer documents. | —0 | —0 |
Consult financial literature to ensure use of the latest models or statistical techniques. | —0 | —0 |
Determine potential environmental impacts of new products or processes on long-term growth and profitability. | —0 | —0 |
Determine potential liability related to the use of more sustainable methods of product packaging, such as biodegradable food containers. | —0 | —0 |
Evaluate the risks and benefits involved in implementing green building technologies. | —0 | —0 |
Evaluate the risks related to green investments, such as renewable energy company stocks. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.O*NET Task ID 21617 | 1.0 |
Review or draft risk disclosures for offer documents.O*NET Task ID 21633 | 1.0 |
Analyze areas of potential risk to the assets, earning capacity, or success of organizations.O*NET Task ID 21605 | 0.5 |
Analyze new legislation to determine impact on risk exposure.O*NET Task ID 21606 | 0.5 |
Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.O*NET Task ID 21607 | 0.5 |
Confer with traders to identify and communicate risks associated with specific trading strategies or positions.O*NET Task ID 21608 | 0.5 |
Consult financial literature to ensure use of the latest models or statistical techniques.O*NET Task ID 21609 | 0.5 |
Contribute to development of risk management systems.O*NET Task ID 21610 | 0.5 |
Determine potential environmental impacts of new products or processes on long-term growth and profitability.O*NET Task ID 21611 | 0.5 |
Develop contingency plans to deal with emergencies.O*NET Task ID 21612 | 0.5 |
Develop or implement risk-assessment models or methodologies.O*NET Task ID 21613 | 0.5 |
Devise scenario analyses reflecting possible severe market events.O*NET Task ID 21614 | 0.5 |
Devise systems or processes to monitor validity of risk assessments.O*NET Task ID 21615 | 0.5 |
Document, and ensure communication of, key risks.O*NET Task ID 21616 | 0.5 |
Evaluate and compare the relative quality of various securities in a given industry.O*NET Task ID 21618 | 0.5 |
Evaluate the risks and benefits involved in implementing green building technologies.O*NET Task ID 21619 | 0.5 |
Evaluate the risks related to green investments, such as renewable energy company stocks.O*NET Task ID 21620 | 0.5 |
Gather risk-related data from internal or external resources.O*NET Task ID 21621 | 0.5 |
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.O*NET Task ID 21622 | 0.5 |
Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.O*NET Task ID 21623 | 0.5 |
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.O*NET Task ID 21624 | 0.5 |
Maintain input or data quality of risk management systems.O*NET Task ID 21625 | 0.5 |
Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.O*NET Task ID 21626 | 0.5 |
Monitor developments in the fields of industrial technology, business, finance, and economic theory.O*NET Task ID 21627 | 0.5 |
Prepare plans of action for investment, using financial analyses.O*NET Task ID 21628 | 0.5 |
Produce reports or presentations that outline findings, explain risk positions, or recommend changes.O*NET Task ID 21629 | 0.5 |
Provide statistical modeling advice to other departments.O*NET Task ID 21630 | 0.5 |
Recommend investments and investment timing to companies, investment firm staff, or the public.O*NET Task ID 21631 | 0.5 |
Recommend ways to control or reduce risk.O*NET Task ID 21632 | 0.5 |
Track, measure, or report on aspects of market risk for traded issues.O*NET Task ID 21634 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
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. | — |
0.00/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
None of this occupation's O*NET 29.3 tasks is classified as a physical task.
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
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 code | KSCO title | Relation | Status |
|---|---|---|---|
| 28299 | 그 외 금융 및 보험 관련 전문가 | Related, not a match | confirmed |
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)
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 code | ROME title (French) | Relation |
|---|---|---|
| M1228 | Gestionnaire de risques financiers | This occupation is broaderprovisional |
| C1202 | Analyste de crédits et risques bancaires | Related, not a matchprovisional |
| C1215 | Contrôleur / Contrôleuse de banque | Related, 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 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 2613 | Analistas financieros | This occupation is narrowerprovisional |
| 2415 | Matemáticos y actuarios | Related, 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 code | KldB title (German) | Relation |
|---|---|---|
| 72144 | Finanzanalysten/-analystinnen - hoch komplexe Tätigkeiten | This occupation is narrowerprovisional |
| 41114 | Berufe in der Statistik - hoch komplexe Tätigkeiten | Related, 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 code | JSCO 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