Fraud Researcher

🕒 September 16

🇺🇸 United States – Remote

💵 $171.1k - $251.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

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Twilio

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Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• 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 the 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 • Provide root cause analysis and actionable recommendations • Monitor industry trends in fraud and bot detection to maintain a competitive defense posture • Travel occasionally for project or team in-person meetings

🎯 Requirements

• 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 • Proven track record of designing and executing proactive fraud mitigation strategies • Strong cross-functional incident response leadership • Ability to translate complex security risks into clear, actionable business strategies for technical and executive stakeholders • Experience in the CPaaS, telecommunications, or payments industry (desired) • Familiarity with machine learning concepts and their application in fraud detection (desired) • Relevant certifications such as CFE or CISSP (desired)

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare insurance • Retirement savings program • Equity plan eligibility • Corporate bonus plan eligibility • 401(k) retirement account • Paid sick time • Paid personal time off • Paid parental leave • Remote-first work • Volunteering and donation support

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