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customer support data analysis machine learning ai fraud detection
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πŸ“‹ Description

  • Monitor real-time transactions and other customer behaviors flagged for fraud and abuse for manual
  • Investigate individual transactions using internal policies and review methodologies to determine
  • Understand our systems and tools; investigate account patterns through data analysis.
  • Research fraud and user behavior to contribute to machine learning models, rules and other
  • Collaborate with analysts, operations specialists, data scientists and engineering to improve our
  • Learn and maintain strong domain knowledge of the world of fraud including prevention techniques

🎯 Requirements

  • Experience in analyzing data and comfortable making impactful decisions in a fast-paced and
  • Attention to detail and ability to multitask
  • Excellent problem-solving and analytical skills
  • Strong business judgment and communication skills
  • Ability to self-start and work with minimal supervision after training
  • Demonstrated experience working with Claude or equivalent large language model tools is required
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