Quantitative Analysts (Quants)
Official O*NET title: Financial Quantitative Analysts (13-2099.01)
Also called: quant, investment portfolio control consultant, investment strategist, portfolio manager, quantitative analyst
Do you do this at work?
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Do you do this at work?
Interpret results of financial analysis procedures
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How AI is changing quantitative analysts (quants) work
8 of 13 measurable main tasks for this job show up in real AI-use data, so we rate it Red (lots of AI use) — 62%.
This shows where people already use AI, not whether the job will disappear. How we measure this.
Tasks in this job and recorded AI use
- Interpret results of financial analysis procedures (main task) — a lot of recorded AI use
- Apply mathematical or statistical techniques to address practical issues in finance (main task) — a lot of recorded AI use
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models (main task) — a lot of recorded AI use
- Produce written summary reports of financial research results (main task) — a lot of recorded AI use
- Provide application or analytical support to researchers or traders on issues such as valuations or data (main task) — some recorded AI use
- Research new financial products or analytics to determine their usefulness (main task) — some recorded AI use
- Define or recommend model specifications or data collection methods (main task) — some recorded AI use
- Maintain or modify all financial analytic models in use (main task) — some recorded AI use
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques (main task) — no recorded AI use
- Devise or apply independent models or tools to help verify results of analytical systems (main task) — no recorded AI use
- Collaborate in the development or testing of new analytical software to make sure compliance with user requirements, specifications, or scope (main task) — no recorded AI use
- Talk with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques (main task) — no recorded AI use
- Consult traders or other financial industry staff to determine the need for new or improved analytical applications (main task) — no recorded AI use
- Identify, track, or maintain metrics for trading system operations — some recorded AI use
- Prepare requirements documentation for use by software developers — some recorded AI use
- Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance issues — no recorded AI use
- Collaborate with product development teams to research, model, validate, or put in place quantitative structured solutions for new or expanded markets — no recorded AI use
- Develop solutions to help clients hedge carbon exposure or risk — no recorded AI use
- Develop tools to assess green technologies or green financial products — no recorded AI use
- Assess the potential impact of climate change on business financial issues — no recorded AI use
- Analyze pricing or risks of carbon trading products — no recorded AI use
Tasks: O*NET 31.0. AI use: Anthropic Economic Index (exact or close text match).
Your first steps (guidance)
- Week 1: Open a free AI assistant and say hello. Follow our “Getting started with AI” guide. Ask it one simple question about your work.
- Week 2: Use AI on one task you do often. Try the prompt for: “Interpret results of financial analysis procedures”. Try the prompt for: “Apply mathematical or statistical techniques to address practical issues in finance”.
Tick your own tasks above to get a plan based on what you really do. The first 2 weeks are free; Premium (coming soon) adds weeks 3–12. New to AI? Read our beginner’s guide.
Questions about AI and quantitative analysts (quants)
Will AI replace quantitative analysts (quants)?
Our data can’t predict job losses, and we don’t try to. What it does show: 8 of the 13 main tasks for this job match tasks people already use AI for (Anthropic Economic Index), giving a Red rating (lots of AI use). Using AI on a task is not the same as AI doing the whole job, and 11 of the 21 listed tasks show no recorded AI use yet.
Which quantitative analyst tasks is AI used for most?
In the data, the most AI use among this job’s tasks is for: interpret results of financial analysis procedures; apply mathematical or statistical techniques to address practical issues in finance; research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Which quantitative analyst tasks show little or no AI use?
For example: develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques; devise or apply independent models or tools to help verify results of analytical systems; collaborate in the development or testing of new analytical software to make sure compliance with user requirements, specifications, or scope. These are good places to keep building your own skills.
How does this job compare to others?
In Microsoft Research’s “Working with AI” study, this job’s AI applicability score is equal to or higher than 79% of the occupations they scored. That measures overlap with AI chat use, not risk of job loss.
How can a quantitative analyst start learning AI?
Start small: open a free AI assistant, try it on one task you do often, and always check facts and numbers yourself. The plan on this page is guidance, not professional advice.
See how this job ranks
Quantitative Analysts (Quants) ranks #80 of 572 jobs for the share of main tasks with AI use (#1 = most), and #5 of 31 in Finance.
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