As of June 2026, Financial Quantitative Analysts has an AI-exposure score of 63/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Financial Quantitative Analysts

63/100
High exposure
LowModerateElevatedHighVery High

More exposed than 76% of the roles we track. Median pay ~US$81,100. About 10,300 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

Where are you in your career? (optional — tailors the context)

How you compare to similar Business & Finance roles

Financial Quantitative Analysts (you)
63
Management Analysts
63
Business Continuity Planners
64
Regulatory Affairs Specialists
62
Government Property Inspectors and Investigators
62
Wholesale and Retail Buyers, Except Farm Products
65
Know someone whose job is changing? Share your score.
Post Share Score card
Every share sends them to their own free scan.
Create a free account to follow this role and get weekly AI-safe matches.

Your tasks, by AI exposure

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

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (90%).

Safer adjacent roles

Operations Research Analysts
80% skills overlap · Elevated exposure · ~US$88,940
60
Statistical Assistants
72% skills overlap · Very High exposure · ~US$50,330
75
Investment Fund Managers
64% skills overlap · Elevated exposure · ~US$166,570
62
Business Intelligence Analysts
56% skills overlap · High exposure · ~US$120,230
70
Data Scientist
48% skills overlap · Elevated exposure · ~US$108,020
56
Risk Analyst
40% skills overlap · Elevated exposure · ~US$85,000
58
Financial Analyst
40% skills overlap · Elevated exposure · ~US$96,220
62
Statistician
40% skills overlap · Elevated exposure · ~US$99,000
57

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

Personalize it: paste your résumé & LinkedIn (optional) — your rewrite is included in the report
Used only to generate your report. You can delete it anytime via delete my data.
Personalize my plan (optional, 20 sec — tailors your safer roles & recommendation)
14-day money-back guarantee One-time · kept forever · no subscription

Instant delivery — your personalized report is ready about a minute after checkout.

Get ahead: a rising skill on this path is Critical Thinking. Explore courses →
Some course links are affiliate links — we may earn a small commission at no extra cost to you.
Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.