Fraud Researcher

Job Description:

  • Perform independent research using AI tools to identify novel emerging fraud trends
  • Work with data scientists to create ML models to detect fraud behaviors at scale
  • Continuously stress test the network for vulnerabilities
  • Analyze large-scale messaging and voice traffic to identify novel patterns of fraudulent activity, including AIT and ATO
  • Develop and execute proactive fraud mitigation strategies to protect customers and the network
  • Collaborate with data science and engineering teams to refine detection models and reduce false positives
  • Conduct in-depth investigations into high-impact fraud incidents
  • Provide root cause analysis and actionable recommendations
  • Monitor industry trends in fraud and bot detection to maintain a competitive defense posture
  • Travel occasionally for project or team in-person meetings

Requirements:

  • 5+ years of experience in fraud investigations, trust & safety, or security analysis within a high-growth tech environment or large-scale distributed systems
  • Advanced expertise in complex data analysis, SQL, and data visualization tools
  • Proven track record of designing and executing proactive fraud mitigation strategies
  • Strong cross-functional incident response leadership
  • Ability to translate complex security risks into clear, actionable business strategies for technical and executive stakeholders
  • Experience in the CPaaS, telecommunications, or payments industry (desired)
  • Familiarity with machine learning concepts and their application in fraud detection (desired)
  • Relevant certifications such as CFE or CISSP (desired)

Benefits:

  • Competitive pay
  • Generous time off
  • Ample parental and wellness leave
  • Healthcare insurance
  • Retirement savings program
  • Equity plan eligibility
  • Corporate bonus plan eligibility
  • 401(k) retirement account
  • Paid sick time
  • Paid personal time off
  • Paid parental leave
  • Remote-first work
  • Volunteering and donation support
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