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Automation Risk Analysis

Will “Data Analyst” be Automated?

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AI Exposure Risk

62%

“Data Analyst” 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%

“Data Analyst” 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

  • Define or recommend model specifications or data collection methods.

  • Maintain or modify all financial analytic models in use.

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

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

  • 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.

  • Prepare requirements documentation for use by software developers.

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

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

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

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

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

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

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

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

  • Produce written summary reports of financial research results.

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

  • Interpret results of financial analysis procedures.

  • 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.

  • Analyze pricing or risks of carbon trading products.

Technologies & Software

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