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
