Remote AI-Driven Fraud Researcher

Twilio Inc.; San Francisco (CA); Remote; USD 201,000 - 252,000; Full time

Benefits offered by this job

Health care insurance

401(k) retirement account

Paid sick time

Paid personal time off

Paid parental leave

Job summary

Twilio is seeking a remote Fraud Researcher to detect emerging fraud trends across Twilio Network. You will analyze billions of events with AI tools and collaborate with data scientists to build ML models that detect fraud at scale.

The role requires 5+ years in fraud investigations or security analysis within high-growth tech environments, strong SQL and data visualization skills, and a proactive approach to mitigating platform risks. Remote-first with occasional in-person gatherings.

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.

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

Trust & safety

Security analysis

Data analysis

SQL

Tools

SQL

Data visualization tools

Job description

Twilio is seeking a remote Fraud Researcher to detect emerging fraud trends across Twilio Network. You will analyze billions of events with AI tools and collaborate with data scientists to build ML models that detect fraud at scale.

The role requires 5+ years in fraud investigations or security analysis within high-growth tech environments, strong SQL and data visualization skills, and a proactive approach to mitigating platform risks. Remote-first with occasional in-person gatherings.