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Automation Risk Analysis

Will “Fraud Detection Analyst” be Automated?

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AI Exposure Risk

57%

“Fraud Detection 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 57% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

32%

“Fraud Detection Analyst” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 32% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Fraud Examiners, Investigators and Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.

Job Title & Hierarchy Code (SOC) Fraud Examiners, Investigators and Analysts #13-2099.04
ℹ️

Data is based on the reference occupation: “Fraud Examiners, Investigators and Analysts”

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Core Skills & Abilities

  • Lead, or participate in, fraud investigation teams.

  • Interview witnesses or suspects and take statements.

  • Obtain and serve subpoenas.

  • Design, implement, or maintain fraud detection tools or procedures.

  • Review reports of suspected fraud to determine need for further investigation.

  • Document all investigative activities.

  • Gather financial documents related to investigations.

  • Arrest individuals to be charged with fraud.

  • Prepare written reports of investigation findings.

  • Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.

  • Recommend actions in fraud cases.

  • Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.

  • Train others in fraud detection and prevention techniques.

  • Research or evaluate new technologies for use in fraud detection systems.

  • Testify in court regarding investigation findings.

  • Conduct field surveillance to gather case-related information.

  • Negotiate with responsible parties to arrange for recovery of losses due to fraud.

  • Prepare evidence for presentation in court.

  • Evaluate business operations to identify risk areas for fraud.

  • Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.

  • Advise businesses or agencies on ways to improve fraud detection.

  • Coordinate investigative efforts with law enforcement officers and attorneys.

  • Create and maintain logs, records, or databases of information about fraudulent activity.

Technologies & Software

  • Guardian Analytics FraudMAP
  • Qwen (Alibaba)
  • DataRobot
  • Grok (xAI)
  • NortonLifeLock cybersecurity software
  • TIBCO Spotfire
  • Microsoft Visio
  • TriZetto QNXT
  • SAS
  • Tableau
  • Perplexity AI
  • Planful AI
  • Gemini (Google)
  • Microsoft PowerPoint
  • Microsoft Excel
  • Microsoft Word
  • Microsoft Outlook
  • Microsoft SharePoint
  • SAP Business Objects
  • ChatGPT (OpenAI)
  • Tableau AI
  • Gemini for Workspace
  • Napkin AI
  • PCG Software Virtual Examiner
  • Bookkeeping software
  • Electronic health record EHR software
  • Microsoft SQL Server
  • Python
  • IBM Cognos
  • ArcSight Enterprise Threat and Risk Management
  • Business intelligence software
  • Vertafore ImageRight
  • Microsoft Office software
  • Kimi (Moonshot AI)
  • Microsoft Access
  • Nova (Amazon)
  • Structured query language SQL
  • Alteryx AI
  • Microsoft Copilot
  • Mistral (Mistral AI)
  • DeepSeek
  • Claude (Anthropic)
  • LexisNexis
  • Splunk Enterprise
  • Meta Business AI
  • R
  • Llama (Meta)
  • Laptop computers
  • Digital audio recorders
  • Digital video cameras
  • Desktop computers
  • Personal computers
  • Tablet computers
  • Digital still cameras