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AI Mule Account Network Detector

Gradrix Works

Remote · $130k – $160k / year · Full-time · Posted 1 month ago

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About the role

Our fraud losses aren't coming from lone bad actors anymore, they're coming from coordinated networks of mule accounts moving money through dozens of seemingly unrelated profiles. Rules-based detection catches the obvious ones and misses the rest. This role exists to close that gap. You'll build graph-based and behavioral models that identify mule account networks by looking at transaction patterns, shared device fingerprints, and account creation velocity across seemingly unconnected accounts, feeding directly into our real-time fraud blocking pipeline. You'll work with our fraud operations team to validate detections against confirmed cases and continuously retrain models as fraud networks adapt their behavior.

Fully remote.

Responsibilities

  • Build graph and behavioral models to detect coordinated mule account networks
  • Own the Spark-based feature pipeline feeding real-time fraud scoring
  • Validate detections against confirmed fraud cases with the operations team
  • Retrain and monitor models as fraud patterns evolve

Requirements

  • 5+ years in fraud detection, risk modeling, or applied ML
  • Strong scikit-learn and Spark experience at production scale
  • SQL fluency for large transactional datasets
  • Experience with graph-based or network analysis techniques

Benefits

  • Fully remote position
  • Competitive salary plus equity
  • Health and dental insurance
  • Security-conscious, low-bureaucracy engineering culture

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Categories

AI & Machine Learning Engineers Data Science & Analytics

Skills

python spark sql scikit-learn

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI & Machine Learning Engineers Data Science & Analytics

Skills

python spark sql scikit-learn

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