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Automation Risk Analysis

Will “Quantitative Modeler” be Automated?

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AI Exposure Risk

62%

“Quantitative Modeler” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 62% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

23%

“Quantitative Modeler” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 23% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Financial Quantitative Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Job Title & Hierarchy Code (SOC) Financial Quantitative Analysts #13-2099.01
ℹ️

Data is based on the reference occupation: “Financial Quantitative Analysts”

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Core Skills & Abilities

  • Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

  • Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.

  • Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

  • Maintain or modify all financial analytic models in use.

  • Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.

  • Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

  • Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.

  • Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.

  • Produce written summary reports of financial research results.

  • Interpret results of financial analysis procedures.

  • Develop solutions to help clients hedge carbon exposure or risk.

  • Analyze pricing or risks of carbon trading products.

  • Provide application or analytical support to researchers or traders on issues such as valuations or data.

  • Devise or apply independent models or tools to help verify results of analytical systems.

  • Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.

  • Research new financial products or analytics to determine their usefulness.

  • Define or recommend model specifications or data collection methods.

  • Identify, track, or maintain metrics for trading system operations.

  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

  • Prepare requirements documentation for use by software developers.

  • Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.

Technologies & Software

  • JavaScript
  • StataCorp Stata
  • DeepSeek
  • Grok (xAI)
  • Microsoft Azure software
  • Perplexity AI
  • Planful AI
  • IBM SPSS Statistics
  • Gemini for Workspace
  • C#
  • Microsoft Visio
  • Alteryx AI
  • Gemini (Google)
  • UNIX
  • Llama (Meta)
  • Microsoft Office software
  • Napkin AI
  • Microsoft Excel
  • Nova (Amazon)
  • Linux
  • Kimi (Moonshot AI)
  • Microsoft Dynamics
  • Microsoft Visual Studio
  • Apache Hive
  • Microsoft Power BI
  • Qwen (Alibaba)
  • Microsoft Visual Basic for Applications VBA
  • Microsoft Access
  • Oracle Java
  • IBM Cognos Business Intelligence
  • Claude (Anthropic)
  • Microsoft Copilot
  • MicroStrategy Desktop
  • Tableau AI
  • Mistral (Mistral AI)
  • Structured query language SQL
  • MicroStrategy
  • Perl
  • Amazon Web Services AWS software
  • Microsoft Visual Basic
  • The MathWorks MATLAB
  • SAS
  • Microsoft PowerPoint
  • Oracle JD Edwards EnterpriseOne
  • Insightful S-PLUS
  • R
  • Web browser software
  • Microsoft SQL Server
  • Bloomberg Professional
  • DataRobot
  • Meta Business AI
  • Tableau
  • Python
  • C++
  • ChatGPT (OpenAI)
  • Mainframe computers
  • Personal computers
  • Computer data input scanners
  • Laptop computers
  • Multi-line telephone systems
  • Desktop computers
  • Photocopying equipment