Will AI replace quantitative analysts?
Much of the work, but not all of it. AI could take on about 64% of the working time in a typical quantitative analyst job today. The other 36% still needs a person.
36% of the work still needs a person.
The bracket under the bar is the evidence range for the share AI could take on: 47 to 64%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.
21 responsibilities in a typical quantitative analyst job. Median pay $81,100 a year in the U.S. (BLS, May 2025).
Still needs a person
- Apply math and statistics to finance problems AI helps
- Build core financial model libraries AI helps
- Find out what traders need
- Research and build portfolio analysis tools AI helps
- Check financial models for errors AI helps
- Discuss trading strategies with colleagues AI helps
AI can do or help with
- Interpret financial analysis results AI helps
- Apply math and statistics to finance problems AI helps
- Research and build portfolio analysis tools AI helps
- Build core financial model libraries AI helps
- Define specs for new models AI helps
- Support traders and researchers with analysis AI helps
The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 21, with the reason for each and the cost of handing them to AI.
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Upload your résumé to see your Human Edge: how much of this job your experience holds in the 36% that still needs a person. You also get a free plan with what to learn next. We never keep your résumé.
Questions people ask
Will AI replace quantitative analysts?
Much of the work, but not all of it. AI could take on about 64% of the working time in a typical quantitative analyst job today. The other 36% still needs a person. That is a split of the work, not a forecast of jobs lost.
Which parts of the job can AI do?
The biggest ones AI can do or help with: interpret financial analysis results, apply math and statistics to finance problems, research and build portfolio analysis tools, build core financial model libraries, define specs for new models, support traders and researchers with analysis.
Which parts still need a person?
The biggest ones: apply math and statistics to finance problems, build core financial model libraries, find out what traders need, research and build portfolio analysis tools, check financial models for errors, discuss trading strategies with colleagues.
How is this measured?
The U.S. Department of Labor lists 21 responsibilities for this job (O*NET 31.0). Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 47 to 64%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.7.17, updated October 28, 2026.
Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.
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