Will AI replace Financial Risk Specialists?

AI can do 98% of the work Financial Risk Specialists do at least twice as fast. People already use it for 8 of their 30 tasks, while 21 more are ready but barely used so far. 1 still needs a person.

AI is already doing this8 · 30% of time

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

  • Produce reports or presentations that outline findings, explain risk positions, or recommend changes.Mostly automated9% of time
  • Develop or implement risk-assessment models or methodologies.Mostly automated6% of time
  • Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.Mostly assisted4% of time
  • Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.Mostly automated4% of time
  • Maintain input or data quality of risk management systems.Mostly automated4% of time
  • Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.Mostly automated2% of time
  • Evaluate and compare the relative quality of various securities in a given industry.Mostly automated1% of time
  • Recommend investments and investment timing to companies, investment firm staff, or the public.Mostly automated1% of time

AI could do this next21 · 67% of time

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

  • Analyze areas of potential risk to the assets, earning capacity, or success of organizations.9% of time
  • Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.9% of time
  • Gather risk-related data from internal or external resources.7% of time
  • Devise scenario analyses reflecting possible severe market events.5% of time
  • Document, and ensure communication of, key risks.5% of time
  • Track, measure, or report on aspects of market risk for traded issues.5% of time
  • Contribute to development of risk management systems.4% of time
  • Devise systems or processes to monitor validity of risk assessments.4% of time
  • Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.4% of time
  • Recommend ways to control or reduce risk.4% of time
  • Analyze new legislation to determine impact on risk exposure.2% of time
  • Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.2% of time
  • Consult financial literature to ensure use of the latest models or statistical techniques.1% of time
  • Develop contingency plans to deal with emergencies.1% of time
  • Evaluate the risks related to green investments, such as renewable energy company stocks.1% of time
  • Monitor developments in the fields of industrial technology, business, finance, and economic theory.1% of time
  • Prepare plans of action for investment, using financial analyses.1% of time
  • Provide statistical modeling advice to other departments.1% of time
  • Review or draft risk disclosures for offer documents.1% of time
  • Determine potential environmental impacts of new products or processes on long-term growth and profitability.under 1% of time
  • Evaluate the risks and benefits involved in implementing green building technologies.under 1% of time

Still needs a person1 · 2% 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.

  • Confer with traders to identify and communicate risks associated with specific trading strategies or positions.2% of time

Your week is not the average

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What this means

AI can already do almost all of this work at least twice as fast. Real use is still behind at 27 out of 100, so the change here is only getting started. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 8 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 21 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 1 task that stay human. This is where your judgment, skill and relationships matter most.

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