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IdmeIdmeMcLean, VA

Fraud Investigations Analyst

Investigates account takeover activity, analyzes fraud patterns across accounts using SQL/Python/AI tools, and supports detection strategy improvements to protect users. Requires 2+ years in fraud/risk and bachelor's degree.

80k – 93k
On-site2+ YOESecurity Engineering

About the role

Responsibilities

  • Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
  • Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
  • Use SQL, Python, or similar tools to query datasets and support investigations
  • Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
  • Execute investigations and document findings, escalating higher-risk or complex cases as needed
  • Support tuning and optimization of fraud detection rules, alerts, and signal usage
  • Partner with cross-functional teams to improve fraud detection coverage and data quality
  • Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
  • Leverage AI/LLM tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts

Basic Qualifications

  • Bachelor's degree from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 2+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
  • 1+ years of experience using SQL, Python, or similar tools to analyze fraud data or investigate trends
  • 1+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 1+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows

Preferred Qualifications

  • Experience working at a fintech company, technology company, or reputable financial institution
  • Experience analyzing organized fraud rings or large-scale fraud patterns
  • Familiarity with machine learning–driven fraud detection systems or AI-assisted analysis

Compensation

Pay Range: $80,000—$93,000 USD (annual base salary; does not include bonus, equity, or benefits)

Skills

SQLPythonFraud Detection ToolsRisk-Scoring SystemsAi/Llm ToolsMachine Learning ModelsBehavioral AnalysisTransaction MonitoringThreat IntelligenceData Analysis

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