Will AI replace Financial Quantitative Analysts?
Estimated risk score: 69 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (50 to 88).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-2099.01 · Business and Financial Operations
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 10 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
- Maintain or modify all financial analytic models in use.
- Prepare requirements documentation for use by software developers.
- Produce written summary reports of financial research results.
- Identify, track, or maintain metrics for trading system operations.
- Provide application or analytical support to researchers or traders on issues such as valuations or data.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 21 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
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.
Also called: Quantitative Analyst, Investment Strategist, Quantitative Equity Analyst, Structurer, Equity Analyst, Equity Structurer, Model Risk Manager, Predictive Modeler.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate