Will AI replace Financial Quantitative Analysts?

AI can do 100% of the work Financial Quantitative Analysts do at least twice as fast. People already use it for 7 of their 21 tasks, while 14 more are ready but barely used so far.

AI is already doing this7 · 53% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.Mostly automated16% of time
  • Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.Mostly automated12% of time
  • Interpret results of financial analysis procedures.Mostly automated8% of time
  • Provide application or analytical support to researchers or traders on issues such as valuations or data.Mostly automated6% of time
  • Produce written summary reports of financial research results.Mostly automated6% of time
  • Prepare requirements documentation for use by software developers.Mostly automated2% of time
  • Identify, track, or maintain metrics for trading system operations.Mostly automated2% of time

AI could do this next14 · 47% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.10% of time
  • Maintain or modify all financial analytic models in use.8% of time
  • Define or recommend model specifications or data collection methods.5% of time
  • Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.4% of time
  • Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.4% of time
  • Devise or apply independent models or tools to help verify results of analytical systems.4% of time
  • Research new financial products or analytics to determine their usefulness.3% of time
  • Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.3% of time
  • Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.3% of time
  • Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.1% of time
  • Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.1% of time
  • Analyze pricing or risks of carbon trading products.under 1% of time
  • Develop solutions to help clients hedge carbon exposure or risk.under 1% of time
  • Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.under 1% of time

Still needs a person0 · 0% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Every task in this job is touched by AI or robots in some way.

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. People in this job already use it heavily. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 7 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 14 tasks AI could do next. These move as tools improve, so learning them early pays off.

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