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Automation Risk Analysis

Will “Predictive Modeler” be Automated?

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AI Exposure Risk

62%

“Predictive 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%

“Predictive 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

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

  • Prepare requirements documentation for use by software developers.

  • Maintain or modify all financial analytic models in use.

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

  • Interpret results of financial analysis procedures.

  • Analyze pricing or risks of carbon trading products.

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

  • Produce written summary reports of financial research results.

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

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

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

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

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

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

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

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

  • Define or recommend model specifications or data collection methods.

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

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

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

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

Technologies & Software

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