Emerging Fraud Researcher

Who we are

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 that make work feel truly rewarding. Your career at Twilio is in your hands.
.

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

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.

Join the team as Twilio's next emerging Fraud Researcher.

This position is needed to detect emerging fraud trends and behaviors on Twilio Network, across all channels - voice, messaging and email. You will work on researching new fraud behaviors by analyzing industry trends and analyzing billions of events using AI tools.

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.

This role will be remote,but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

* Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington…