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Business & Finance · Updated Aug 2026

Financial Quantitative Analysts

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.

JVS 2.0.0-phase4b
AI Exposure
78/100
Very high

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
74/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage83%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.High
78
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.High
79
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.High
79
Provide application or analytical support to researchers or traders on issues such as valuations or data.Medium
80
Define or recommend model specifications or data collection methods.Medium
81
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.Medium
78
Produce written summary reports of financial research results.Medium
80
Devise or apply independent models or tools to help verify results of analytical systems.Medium
76
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.Medium
80
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.Medium
80
Identify, track, or maintain metrics for trading system operations.Medium
79
Research new financial products or analytics to determine their usefulness.Medium
80
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.Medium
77
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.Medium
79
Prepare requirements documentation for use by software developers.Medium
81
Develop solutions to help clients hedge carbon exposure or risk.Low
71
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.Low
42
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.Low
78
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Define or recommend model specifications or data collection methods.81
  2. Prepare requirements documentation for use by software developers.81
  3. Provide application or analytical support to researchers or traders on issues such as valuations or data.80
  4. Produce written summary reports of financial research results.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.01
  2. Develop solutions to help clients hedge carbon exposure or risk.02
  3. Devise or apply independent models or tools to help verify results of analytical systems.03
  4. Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.04
  5. Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency53
Physical dependency16
Adoption pressure67
Labour-market resilience46
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →