Emerging Fraud Researcher

At Twilio, the team focused on fraud detection and security analysis is dedicated to safeguarding the company's communication network across voice, messaging, and email channels. The role involves conducting independent research using AI tools to identify new fraud patterns and working closely with data scientists to develop machine learning models for fraud detection. The team emphasizes proactive strategies and continuous testing to stay ahead of emerging threats, ensuring platform integrity.

The ideal candidate has over five years of experience in fraud investigations or security analysis within high-growth tech environments, with strong skills in data analysis, SQL, and visualization tools. Familiarity with machine learning applications in fraud detection and relevant certifications are preferred. The position is remote, with occasional travel, and is open to diverse applicants who can bring innovative approaches to fraud prevention.

This contract role is remote, based in the US, excluding certain states, and involves collaboration with cross-functional teams to analyze large datasets and investigate high-impact fraud incidents. The role offers competitive compensation, benefits, and opportunities for professional growth, with a focus on building a secure and trustworthy communication platform.