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Salary: USD 171,120 - 251,600 / annual
Twilio is seeking an Emerging Fraud Researcher to detect and analyze novel fraud trends and behaviors across its global communications network (voice, messaging, email). This is a research-focused role working with billions of events to identify emerging fraud patterns and protect platform integrity.
Key Responsibilities:
- Perform independent research using AI tools to identify novel emerging fraud trends on the Twilio Network
- Work with data scientists to create and refine ML models for detecting fraud behaviors at scale
- Continuously stress test the network for vulnerabilities and security gaps
- Analyze large-scale messaging and voice traffic to identify novel patterns of fraudulent activity, including Account Takeover (ATO) and Account Initiation Takeover (AIT)
- Develop and execute proactive fraud mitigation strategies to protect customers and network integrity
- 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 competitive defense posture
About Twilio:
Twilio is a SaaS/enterprise software company providing authentication and identity infrastructure for developers. The company serves hundreds of thousands of businesses and empowers millions of developers worldwide. Twilio operates as a remote-first organization with a strong culture of connection and global inclusion.
Requirements:
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 ability to translate complex security risks into clear, actionable business strategies for technical and executive stakeholders
Desired:
- Experience in 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
About Twilio
SaaS / Enterprise Software — authentication and identity infrastructure for developers.
