Emerging Fraud Researcher

See yourself at Twilio

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

About the job

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.

Responsibilities

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.

*Required:

• 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.

Desired:

• 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.

Location

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

Compensation

*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 D.C. : $171,120 (Developing Minimum for Tier 3) - $213,900 (Mid for Tier 3).
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 (Developing Minimum for Tier 2) - $226,500 (Mid for Tier 2).
• Based in the San Francisco Bay area, California: $201,280 (Developing Minimum for Tier 1) - $251,600 (Mid for Tier 1).
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until October 14, 2026, but may change based on business needs.