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