Remote Fraud Researcher – AI-Driven Threat Detection

Twilio Inc.; Oregon; Hybrid; USD 150,000 - 190,000; Full time

Job summary

Twilio is hiring a remote Fraud Researcher to detect emerging fraud trends across voice, messaging, and email on Twilio Network. You will analyze billions of events with AI tools and collaborate with data scientists to build scalable ML models.

The role focuses on proactive fraud mitigation, network security, and staying ahead of industry trends with a global view. Experience in CPaaS, security analysis, and a strong data-focused mindset is essential.

Qualifications

• 5+ years of experience in fraud investigations, trust & safety, or security analysis in high-growth tech or large-scale distributed systems.
• Advanced expertise in complex data analysis, SQL, and data visualization to query large datasets and uncover fraud patterns.
• Proven track record of designing and executing proactive fraud mitigation strategies to protect platform integrity.

Responsibilities

• 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 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 with root cause analysis and actionable recommendations.
• Monitor industry trends in fraud and bot detection to maintain a competitive defense posture.

Skills

Fraud investigations

Advanced data analysis

SQL

Data visualization

Incident response leadership

Cross-functional collaboration

Tools

ML tooling

Job description

Twilio is hiring a remote Fraud Researcher to detect emerging fraud trends across voice, messaging, and email on Twilio Network. You will analyze billions of events with AI tools and collaborate with data scientists to build scalable ML models.

The role focuses on proactive fraud mitigation, network security, and staying ahead of industry trends with a global view. Experience in CPaaS, security analysis, and a strong data-focused mindset is essential.