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Описание вакансии
Текст:
TL;DR
Emerging Fraud Researcher (AI): Detecting emerging fraud trends across voice, messaging, and email by analyzing large-scale traffic and billions of events with AI tools, with an accent on fraud investigations, machine learning, and proactive mitigation. Focus on stress-testing network vulnerabilities, designing scalable detection models, investigating high-impact incidents, and reducing false positives.
Location: Remote within the United States; not eligible for hiring in California, Connecticut, New Jersey, New York, Pennsylvania, or Washington. Occasional travel may be required for project or team meetings.
Estimated annual salary ranges from $171,120 to $251,600, depending on location and compensation tier.
Company
Twilio provides communications solutions that help businesses and developers create personalized customer experiences across voice, messaging, and email.
What you will do
- Conduct independent research with AI tools to identify novel and emerging fraud trends.
- Analyze large-scale messaging and voice traffic to uncover fraudulent patterns, including AIT and ATO.
- Collaborate with data scientists and engineers to create and refine machine learning fraud-detection models.
- Stress-test the network for vulnerabilities and develop proactive mitigation strategies.
- Lead investigations into high-impact fraud incidents, including root cause analysis and actionable recommendations.
- Monitor fraud and bot-detection industry trends to strengthen Twilio’s defensive posture.
Requirements
- 5+ years of experience in fraud investigations, trust and safety, or security analysis within a high-growth technology environment or large-scale distributed systems.
- Advanced expertise in complex data analysis, SQL, and data visualization for large-scale datasets.
- Experience designing and executing proactive fraud-mitigation strategies.
- Strong cross-functional incident-response leadership and the ability to communicate complex security risks to technical and executive stakeholders.
- Must be eligible for remote hiring in the United States, excluding California, Connecticut, New Jersey, New York, Pennsylvania, and Washington.
Nice to have
- Experience in CPaaS, telecommunications, or payments.
- Familiarity with machine learning concepts and fraud-detection applications.
- CFE or CISSP certification.
Culture & Benefits
- Remote-first work with occasional in-person team, project, or customer meetings.
- Competitive pay with equity and corporate bonus plan eligibility.
- Healthcare insurance, retirement savings through a 401(k), paid sick time, paid time off, and paid parental leave.
- Generous time off, wellness leave, and parental leave.
- Inclusive culture with support for volunteering and community contributions.
Hiring process
- Applications are intended to remain open until October 14, 2026, subject to business needs.
- Formal interviews are part of the hiring process.
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