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AI Automation Index
Will AI Replace Financial Quantitative Analysts?
Task-level automation exposure for Financial Quantitative Analysts: 21 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
67%
weighted task index
21 of 21 tasks scored
Median Salary
$81,100 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
132,130 people hold this job — size, not growth
Projected 2025–35
+4.1%
employment change
9,400 openings a year · BLS line item
Pay by state
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$39,270 – $125,110
Highest medians
District of Columbia $125,110
Maine $109,060
New York $107,490
Maryland $101,400
Massachusetts $99,970
Lowest medians
Puerto Rico $39,270
Kansas $51,160
Louisiana $59,860
Arkansas $60,600
Florida $61,660
State figures come from the 13-2099 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 67%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 54%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 26/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
21 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 87%
18 tasks
Medium exposure (≥ 35%) 13%
3 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#15997 · Core · 72% automatable
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15995 · Core · 60% automatable
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
decision support — AI drafts system specs; business context human
Develop business or financial information systems.
#15989 · Core · 80% automatable
Interpret results of financial analysis procedures.
data analysis — Analyzes structured financial data with tools
Analyze business or financial data.
#15990 · Core · 72% automatable
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15991 · Core · 70% automatable
Define or recommend model specifications or data collection methods.
data analysis — Explains techniques well; application needs human
Advise others on analytical techniques.
#15988 · Core · 78% automatable
Produce written summary reports of financial research results.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets.
#15987 · Core · 72% automatable
Maintain or modify all financial analytic models in use.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15983 · Core · 70% automatable
Provide application or analytical support to researchers or traders on issues such as valuations or data.
data analysis — Explains techniques well; application needs human
Advise others on analytical techniques.
#15996 · Core · 72% automatable
Devise or apply independent models or tools to help verify results of analytical systems.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15985 · Core · 60% automatable
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
decision support — AI drafts system specs; business context human
Develop business or financial information systems.
#15993 · Core · 45% automatable
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
interpersonal — Business operations coordination is live and relational
Confer with personnel to coordinate business operations.
#15992 · Core · 45% automatable
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.
interpersonal — Strategy discussion with managers is accountable judgment
Discuss business strategies, practices, or policies with managers.
#15986 · Core · 75% automatable
Research new financial products or analytics to determine their usefulness.
data analysis — Cost-effectiveness modeling from given data
Assess the cost effectiveness of products, projects, or services.
#15984 · Supplemental · 72% automatable
Identify, track, or maintain metrics for trading system operations.
data analysis — Business indicator dashboards are AI-monitorable with human review
Monitor business indicators.
#19574 · Supplemental · 65% automatable
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.
data analysis — AI drafts analysis methods; analyst validates
Develop financial analysis methods.
#15994 · Supplemental · 65% automatable
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.
data analysis — AI drafts analysis methods; analyst validates
Develop financial analysis methods.
#15982 · Supplemental · 60% automatable
Prepare requirements documentation for use by software developers.
decision support — Technical specs drafted; human verifies
Develop technical specifications for systems or equipment.
#19575 · Supplemental · 65% automatable
Develop solutions to help clients hedge carbon exposure or risk.
data analysis — AI drafts analysis methods; analyst validates
Develop financial analysis methods.
#19576 · Supplemental · 65% automatable
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.
data analysis — AI drafts analysis methods; analyst validates
Develop financial analysis methods.
#19573 · Supplemental · 70% automatable
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.
data analysis — Strategy metrics analyzable; judgment on effectiveness human
Measure effectiveness of business strategies or practices.
#19572 · Supplemental · 58% automatable
Analyze pricing or risks of carbon trading products.
decision support — Green-tech investment risk; human owns decisions
Analyze risks related to investments in green technology.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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