The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
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 our 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.
What they're looking for
- Conduct in-depth investigations into high-impact fraud incidents, providing: root cause analysis and actionable recommendations.
- Monitor industry trends in fraud and bot detection to maintain a competitive defense posture.
- + 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 to query large-scale datasets and uncover novel fraud behaviors or systemic abuses.
