Financial Quantitative Analysts
Business and Financial Operations Occupations- Código O*NET-SOC
- 13-2099.01
Develop quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. Develop mathematical or statistical models for risk management, asset optimization, pricing, or relative value analysis.
Os nomes das ocupações e as descrições de tarefas são exibidos em inglês, tal como publicados. As etiquetas, incluindo os tipos de tarefa, estão traduzidas.
Exposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Muito alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.220
0.000Intervalo dos valores aqui apresentados0.745Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
Publicado por ocupação SOC 2018; toda ocupação O*NET com o mesmo código SOC 2018 recebe este valor
- Fonte dos dados: ILOPublicado: 2025
0.44
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Publicado por grupo de base ISCO-08. Ligado a esta ocupação, total ou parcialmente, aplicando tal como publicadas as tabelas de correspondência do U.S. Bureau of Labor Statistics (ISCO-08 para SOC 2010, SOC 2010 para SOC 2018)
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Exposição à IA (rubrica da OpenAI)
21 tarefas avaliadas · 21 tarefas com β ≥ 0,5 (100.0%)
β = exposição direta (E1) + 0,5 × exposição com ferramentas disponíveis (E2), segundo a definição do repositório de origem.
- Unidade de origem: tarefas do O*NET 27.2 → código de ocupação do O*NET 31.0
- Todas as tarefas pontuadas constam da lista de tarefas do O*NET 31.0.
- Fonte
- OpenAI "GPTs are GPTs" exposure rubric
- Versão
- gh-main-0471612
- Licença
- MIT License, Copyright (c) 2024 OpenAI
Tarefas
Descrições de tarefas da O*NET® 31.0 Database, com as tarefas principais primeiro.
| Tarefa | Tipo | β (OpenAI) |
|---|---|---|
| Provide application or analytical support to researchers or traders on issues such as valuations or data. | Principal | 0,5 |
| Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope. | Principal | 1 |
| Research new financial products or analytics to determine their usefulness. | Principal | 0,5 |
| Maintain or modify all financial analytic models in use. | Principal | 1 |
| Produce written summary reports of financial research results. | Principal | 1 |
| Interpret results of financial analysis procedures. | Principal | 0,5 |
| Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques. | Principal | 1 |
| Define or recommend model specifications or data collection methods. | Principal | 0,5 |
| Consult traders or other financial industry personnel to determine the need for new or improved analytical applications. | Principal | 0,5 |
| Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques. | Principal | 0,5 |
| Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models. | Principal | 0,5 |
| Devise or apply independent models or tools to help verify results of analytical systems. | Principal | 1 |
| Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation. | Principal | 1 |
| Prepare requirements documentation for use by software developers. | Complementar | 1 |
| Identify, track, or maintain metrics for trading system operations. | Complementar | 0,5 |
| Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets. | Complementar | 0,5 |
| Analyze pricing or risks of carbon trading products. | Complementar | 0,5 |
| Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities. | Complementar | 0,5 |
| Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues. | Complementar | 0,5 |
| Develop solutions to help clients hedge carbon exposure or risk. | Complementar | 0,5 |
| Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds. | Complementar | 0,5 |
Informação ocupacional
Fontes e atribuição
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 13-2099.01 Financial Quantitative Analysts
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.