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How exposed to AI is a Financial Quantitative Analyst?

Of the 21 tasks O*NET lists for financial quantitative analysts, 6 could be done in half the time with a chat window today. 0 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Investment Portfolio Control ConsultantInvestment StrategistPortfolio ManagerQuantitative AnalystQuantitative Equity AnalystQuantitative Research AnalystQuantitative Strategy AnalystResearch Analyst
Reachable today Needs software built first Cannot be sped up
21
tasks rated for this occupation
100%
hold a degree, from a survey of 20
123k
people do this job in the US
1 of 48
least protected in business and finance

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

6
  • Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques
  • Provide application or analytical support to researchers or traders on issues such as valuations or data
  • Maintain or modify all financial analytic models in use
  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation
  • Devise or apply independent models or tools to help verify results of analytical systems
  • Define or recommend model specifications or data collection methods

Only with software built on top

15
  • Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models
  • Research new financial products or analytics to determine their usefulness
  • Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques
  • Interpret results of financial analysis procedures
  • Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets
  • Produce written summary reports of financial research results
  • Consult traders or other financial industry personnel to determine the need for new or improved analytical applications
  • Identify, track, or maintain metrics for trading system operations
  • Prepare requirements documentation for use by software developers
  • Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope
  • Develop solutions to help clients hedge carbon exposure or risk
  • Analyze pricing or risks of carbon trading products
  • Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues
  • Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds
  • Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET 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. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.