Twilio
Emerging Fraud Researcher
$171K–$252K
Remote - US · Remote · Full-time · Posted Sep 16, 2026
- Experience
- 5+ years in fraud investigations, trust & safety, or security analysis.
- Visa sponsorship
- Remote role; not eligible for hire in CA, CT, NJ, NY, PA, or WA.
About the job
Research emerging fraud across Twilio’s voice, messaging, and email networks, using large-scale data analysis and AI tools to develop detection and mitigation strategies.
What you'll do
- Research new fraud trends and analyze large-scale traffic to identify fraudulent patterns.
- Work with data science and engineering teams to build and refine fraud detection models and reduce false positives.
- Stress-test the network, investigate major incidents, and develop proactive mitigation strategies.
What they ask for
- 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.
- Track record designing and executing proactive fraud mitigation strategies.
- Cross-functional incident response leadership and ability to communicate security risks as actionable strategies.
Nice to have
- Experience in CPaaS, telecommunications, or payments.
- Familiarity with machine learning concepts in fraud detection; CFE or CISSP certification.
Pay
$171,120 (Developing Minimum for Tier 3) - $213,900 (Mid for Tier 3) (base salary); $181,200 (Developing Minimum for Tier 2) - $226,500 (Mid for Tier 2) (base salary); $201,280 (Developing Minimum for Tier 1) - $251,600 (Mid for Tier 1) (base salary)
Tools
SQL, AI tools
AI focus
Use AI tools to research emerging fraud trends; collaborate with data scientists on ML models for fraud detection.
Model-written summary · the original posting is authoritative