Will AI replace Financial Quantitative Analysts?
AI reaches most of this job’s work.
68/100
Very high exposure
More exposed to AI than 96% of US workers.
- AI already used in
- 35% of the work
- As AI tools mature: up to
- 100% of the work
What the job involves
Develop quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. Develop mathematical or statistical models for risk management, asset optimization, pricing, or relative value analysis.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(7)
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
- Interpret results of financial analysis procedures.
- Produce written summary reports of financial research results.
- Provide application or analytical support to researchers or traders on issues such as valuations or data.
and 2 more
Within reach(14)
- Define or recommend model specifications or data collection methods.
- Maintain or modify all financial analytic models in use.
- 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.
- Research new financial products or analytics to determine their usefulness.
and 9 more
Also called
Quantitative Analyst · Quantitative Research Analyst · Financial Engineer · Investment Portfolio Control Consultant · Investment Strategist · Portfolio Manager · Quantitative Equity Analyst · Quantitative Strategy Analyst
Related jobs
- Data Scientists57/100
- Statisticians73/100
- Operations Research Analysts62/100
- Financial Risk Specialists58/100
- Financial and Investment Analysts50/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics