资金管理分析师
商业与金融AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别(低 / 中等 / 高 / 很高)
以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.220
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.62
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数,按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算,并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中,达到或高于此值的占 3%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。
Task-level exposure
仅显示有暴露的工作| Task | Claude.aiRaw / share % |
|---|---|
Interpret results of financial analysis procedures.13-2099 | 0.119014.8 |
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.13-2099 | 0.103812.9 |
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.13-2099 | 0.07669.5 |
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.13-2099 | 0.06197.7 |
Develop or implement risk-assessment models or methodologies.13-2099 | 0.04605.7 |
Structure or negotiate deals, such as corporate mergers, sales, or acquisitions.13-2099 | 0.04425.5 |
Employ financial models to develop solutions to financial problems or to assess the financial or capital impact of transactions.13-2099 | 0.03053.8 |
Produce written summary reports of financial research results.13-2099 | 0.02793.5 |
Identify, track, or maintain metrics for trading system operations.13-2099 | 0.02713.4 |
Define or recommend model specifications or data collection methods.13-2099 | 0.02593.2 |
| Not observed on any surface — 48 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. | |
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope. | —0 |
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques. | —0 |
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications. | —0 |
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques. | —0 |
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets. | —0 |
Devise or apply independent models or tools to help verify results of analytical systems. | —0 |
Analyze pricing or risks of carbon trading products. | —0 |
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities. | —0 |
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues. | —0 |
Develop solutions to help clients hedge carbon exposure or risk. | —0 |
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds. | —0 |
Develop contingency plans to deal with emergencies. | —0 |
Devise scenario analyses reflecting possible severe market events. | —0 |
Recommend ways to control or reduce risk. | —0 |
Plan, and contribute to development of, risk management systems. | —0 |
Gather risk-related data from internal or external resources. | —0 |
Document, and ensure communication of, key risks. | —0 |
Devise systems and processes to monitor validity of risk modeling outputs. | —0 |
Review or draft risk disclosures for offer documents. | —0 |
Consult financial literature to ensure use of the latest models or statistical techniques. | —0 |
Determine potential environmental impacts of new products or processes on long-term growth and profitability. | —0 |
Determine potential liability related to the use of more sustainable methods of product packaging, such as biodegradable food containers. | —0 |
Evaluate the risks and benefits involved in implementing green building technologies. | —0 |
Evaluate the risks related to green investments, such as renewable energy company stocks. | —0 |
Structure marketing campaigns to find buyers for new securities. | —0 |
Supervise, train, or mentor junior team members. | —0 |
Assess companies as investments for clients by examining company facilities. | —0 |
Evaluate capital needs of clients and assess market conditions to inform structuring of financial packages. | —0 |
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts. | —0 |
Confer with clients to restructure debt, refinance debt, or raise new debt. | —0 |
Advise clients on aspects of capitalization, such as amounts, sources, or timing. | —0 |
Direct communications between corporate issuers of new securities and the general public. | —0 |
Arrange deals involving green investments in areas such as alternative energy product development, green technologies, or sustainable agriculture. | —0 |
Specialize in green financial instruments, such as socially responsible mutual funds or exchange-traded funds (ETF) that are comprised of green companies. | —0 |
Train others in fraud detection and prevention techniques. | —0 |
Research or evaluate new technologies for use in fraud detection systems. | —0 |
Prepare evidence for presentation in court. | —0 |
Negotiate with responsible parties to arrange for recovery of losses due to fraud. | —0 |
Conduct field surveillance to gather case-related information. | —0 |
Testify in court regarding investigation findings. | —0 |
Advise businesses or agencies on ways to improve fraud detection. | —0 |
Recommend actions in fraud cases. | —0 |
Lead, or participate in, fraud investigation teams. | —0 |
Interview witnesses or suspects and take statements. | —0 |
Create and maintain logs, records, or databases of information about fraudulent activity. | —0 |
Coordinate investigative efforts with law enforcement officers and attorneys. | —0 |
Obtain and serve subpoenas. | —0 |
Arrest individuals to be charged with fraud. | —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 | βE1 + 0.5 × E2 |
|---|---|
Prepare written reports of investigation findings.O*NET Task ID 16046 | 1.0 |
Document all investigative activities.O*NET Task ID 16053 | 1.0 |
Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.O*NET Task ID 16035 | 0.5 |
Train others in fraud detection and prevention techniques.O*NET Task ID 16036 | 0.5 |
Research or evaluate new technologies for use in fraud detection systems.O*NET Task ID 16037 | 0.5 |
Prepare evidence for presentation in court.O*NET Task ID 16038 | 0.5 |
Negotiate with responsible parties to arrange for recovery of losses due to fraud.O*NET Task ID 16040 | 0.5 |
Advise businesses or agencies on ways to improve fraud detection.O*NET Task ID 16044 | 0.5 |
Review reports of suspected fraud to determine need for further investigation.O*NET Task ID 16045 | 0.5 |
Recommend actions in fraud cases.O*NET Task ID 16047 | 0.5 |
Obtain and serve subpoenas.O*NET Task ID 16039 | 0.0 |
Conduct field surveillance to gather case-related information.O*NET Task ID 16041 | 0.0 |
Arrest individuals to be charged with fraud.O*NET Task ID 16042 | 0.0 |
Testify in court regarding investigation findings.O*NET Task ID 16043 | 0.0 |
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
职业信息
与本职业相关的近期变化
2024年10月: Brookings 2024 highlights finance as high-exposure AND low-bargaining-power: union representation in the finance sector is around 1%. Financial analysts face productivity tool-driven task change with minimal institutional counterweight.
[来源: Brookings 2024 — Generative AI, the American worker]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.