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AI Anti-Money Laundering Engineer

William Bergmann

Full-time · Job · Chicago

About the role

Traditional AML systems generate 95% false positive alerts. Compliance analysts spend their days reviewing transactions that aren't suspicious, while actual money laundering flows through undetected. Our ML approach cuts false positives by 70% while catching laundering patterns that rules-based systems miss entirely. You'll build the next generation of our detection models: graph-based analysis of transaction networks, temporal pattern recognition across account histories, and adaptive thresholds that adjust to client-specific risk profiles. Each model improvement means fewer wasted analyst hours and more actual criminals caught. We work with 12 banks across North America. The regulatory environment is strict — every model decision needs to be explainable to FinCEN examiners. If you can build accurate models and explain them to regulators, you're exactly who we need.

Responsibilities

  • Build graph-based ML models for suspicious transaction network detection
  • Design temporal pattern recognition for account-level laundering behavior
  • Reduce false positive rates while maintaining regulatory detection thresholds
  • Build model explainability layers for FinCEN regulatory examinations
  • Collaborate with compliance teams on alert tuning and feedback loops

Requirements

  • 5+ years in ML with financial crime or compliance experience
  • Strong PyTorch and scikit-learn skills for classification and graph models
  • Experience with Spark for large-scale transaction data processing
  • Understanding of AML regulations and suspicious activity reporting
  • Ability to explain model decisions to non-technical regulatory audiences

Benefits

  • Fully remote — US time zones
  • Senior compensation with annual bonus
  • Full benefits including 401k
  • Direct impact on financial crime prevention

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Categories

AI & Machine Learning Engineers Automation & AI Workflows

Skills

python pytorch scikit-learn sql spark

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI & Machine Learning Engineers Automation & AI Workflows

Skills

python pytorch scikit-learn sql spark docker pandas

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