# Will AI replace quant traders? Updated October 2026 Financial quantitative analysts score 58 of 100 for AI exposure. The largest share of their task time, 80%, is work AI speeds up while they stay in charge. AI can take over 9% outright, and 11% stays with people. - **9%** AI can do it - **80%** AI helps - **11%** Needs a person High exposure Higher than 88% of the 923 occupations we scored. ## Task by task We graded 21 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 17 and leaves 2 to people. | Task | AI exposure | | --- | --- | | Produce written summary reports of financial research results. AI drafts research summaries well; analyst reviews final text. | 72% AI can do it | | Prepare requirements documentation for use by software developers. AI drafts requirements from notes; analyst reviews with stakeholders. | 62% AI can do it | | Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation. Broad statistical work; AI speeds analysis, analyst still leads. | 58% AI helps | | Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models. Coding assistants speed tool building; design choices stay human. | 55% AI helps | | Maintain or modify all financial analytic models in use. AI helps edit model code; testing and sign off stay human. | 55% AI helps | [See what AI can take on across a finance team](https://www.aigentcy.com/ai-for/finance/) ## How financial quantitative analysts compare All occupations (923) Business and financial operations (48) **Financial quantitative analysts score 58**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 55 for business and financial operations. ## Pay and outlook in the US Median pay $81,100 a year, May 2025 People employed 66,065 in the US, May 2025 Projected change in jobs +4.1% from 2024 to 2034 ## Skills to build - Define model specifications and data collection methods - Test and sign off on model changes in Python or R - Run statistical analysis and backtests in MATLAB or SAS - Query trade and market data with SQL - Build performance attribution dashboards in Tableau - Interview traders to scope new analytical applications ## Safer roles nearby 3 related occupations with lower scores. - [Investment fund managers53 out of 100](https://www.aigentcy.com/ai-exposure/investment-fund-managers/) - [Management consultants55 out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) - [Actuaries47 out of 100](https://www.aigentcy.com/ai-exposure/actuaries/) ## Questions about financial quantitative analysts and AI Will quant traders be replaced by AI? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly drafting research summary reports and writing requirements documentation for software developers. Specification choices, client judgment and final sign-off on models stay with the analyst. Which financial quantitative analyst tasks is AI taking over? AI takes over drafting written summary reports of research results, scored at exposure 72, and preparing requirements documentation for software developers, scored at exposure 62. AI produces both from notes or results, so the analyst shifts to reviewing final text and confirming requirements with stakeholders. Which financial quantitative analyst tasks stay human? Consulting traders to define new analytical applications stays human, scoring just 15 on exposure. Peer discussion of trading strategies with other engineers and analysts scores 18. Both depend on live interviews, relationship judgment and back-and-forth dialogue, all of which stay with the people in the room. How can financial quantitative analysts stay valuable? Focus on the work that stays with you. Define model specifications, test and sign off on model changes in Python or R, and interview traders before building any tool. Use AI to draft reports and requirements, then check every figure against the model output. ## Related jobs - [Data scientists67 out of 100](https://www.aigentcy.com/ai-exposure/data-scientists/) - [Financial risk specialists60 out of 100](https://www.aigentcy.com/ai-exposure/financial-risk-specialists/) - [Financial analysts58 out of 100](https://www.aigentcy.com/ai-exposure/financial-analysts/) - [Statisticians63 out of 100](https://www.aigentcy.com/ai-exposure/statisticians/) ## Next steps for financial quantitative analysts - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.