Emerging Fraud Researcher

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.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences th...

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

In this role, you’ll:
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.
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.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
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 to query large-scale datasets and uncover novel fraud behaviors or systemic abuses.
Proven track record of designing and executing proactive fraud mitigation strategies to protect platform integrity and minimize risk exposure.
Strong cross-functional incident response leadership with the ability to translate complex security risks into clear, actionable business strategies for technical and executive stakeholders.
Experience in the CPaaS, telecommunications, or payments industry.
Familiarity with machine learning concepts and their application in fraud detection.
Relevant certifications such as CFE (Certified Fraud Examiner) or CISSP.