Remote Fraud Researcher - AI-Driven Detection & Mitigation

Twilio; Northern (KY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health care insurance

401(k) retirement plan

Paid sick time

Paid personal time off

Paid parental leave

Job summary

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

The role emphasizes proactive mitigation, incident response, and staying ahead of industry trends to protect customers and the network. Remote work with occasional in-person meetings may occur.

Qualifications

• 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.

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 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.

Skills

Fraud investigations

SQL

Data visualization

Proactive mitigation

Incident response

Machine learning knowledge

CPaaS/telecom/payments

CFE

CISSP

Job description

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

The role emphasizes proactive mitigation, incident response, and staying ahead of industry trends to protect customers and the network. Remote work with occasional in-person meetings may occur.