[All remote jobs](https://jobicy.com/jobs.md)[![Twilio logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/10/WRILS-201023175858-722503.jpg)](https://jobicy.com/company/twilio.md)[Twilio](https://jobicy.com/company/twilio.md) # Emerging Fraud Researcher Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/twilio.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 171,120–251,600 / yrDepartment[Cybersecurity](https://jobicy.com/categories/cybersecurity.md)EmploymentFull TimeExperienceDirectorPublished31 Oct 2026Apply before30 Nov 2026Listing views66Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Twilio is seeking an experienced fraud researcher to identify emerging abuse patterns across its voice, messaging, and email network. The role combines independent threat research, large-scale data analysis, fraud investigations, and proactive mitigation design. The researcher will partner with data science and engineering teams to develop scalable detection models, reduce false positives, and investigate high-impact incidents. Candidates need at least five years of fraud, trust and safety, or security analysis experience, with advanced SQL and data-visualization capability. This is a US-remote role, excluding several named states, with occasional travel for in-person meetings. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires deep fraud-domain judgment, analysis of billions of events, and leadership during complex incidents. Success depends on independently discovering novel threats while translating technical risk into actionable strategies for technical and executive stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$211,360US market range (per year)$170k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses location-based estimated pay ranges from $171,120 to $251,600 USD. The yearly cadence is inferred from the magnitude and context of a senior US remote professional role, rather than explicitly stated. A reasonable estimated US market range for a senior fraud research and platform-security specialist is $170,000–$260,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Fraud investigations](https://jobicy.com/jobs?search_keywords=Fraud%20investigations.md)[Fraud detection](https://jobicy.com/jobs?search_keywords=Fraud%20detection.md)[Trust and safety](https://jobicy.com/jobs?search_keywords=Trust%20and%20safety.md)[Security analysis](https://jobicy.com/jobs?search_keywords=Security%20analysis.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[Root cause analysis](https://jobicy.com/jobs?search_keywords=Root%20cause%20analysis.md)[Risk mitigation](https://jobicy.com/jobs?search_keywords=Risk%20mitigation.md)[Threat research](https://jobicy.com/jobs?search_keywords=Threat%20research.md)[Telecommunications fraud](https://jobicy.com/jobs?search_keywords=Telecommunications%20fraud.md)[Bot detection](https://jobicy.com/jobs?search_keywords=Bot%20detection.md) Sample interview questionsHow would you investigate an emerging fraud pattern across messaging and voice traffic?I would first define the suspected indicators and establish a baseline for normal traffic by channel, customer segment, geography, and time. I would use SQL and visualization to identify anomalous clusters, validate hypotheses with event-level evidence, assess customer and network impact, and document indicators that can be operationalized in detection rules or models. Describe how you would reduce false positives in a fraud detection model. I would review false-positive cases with domain experts, identify the features or thresholds driving incorrect outcomes, and segment performance by traffic type and customer cohort. I would then refine labels and features, test changes against holdout data, measure precision-recall tradeoffs, and deploy gradually with monitoring and a feedback loop. What information should be included in a root-cause analysis after a major fraud incident? A strong root-cause analysis should document the timeline, attack path, affected systems or customers, indicators of compromise, control gaps, detection gaps, quantified impact, containment actions, and preventive recommendations. It should clearly assign owners and deadlines for remediation while presenting risk in language that technical and executive audiences can act on. How do you prioritize fraud mitigation work when several threats are active at once? I prioritize based on likely customer harm, financial and reputational impact, attack scale and velocity, exploitability, confidence in the evidence, and time to mitigate. I would immediately contain high-severity active abuse, while maintaining a structured backlog for strategic model improvements and longer-term control design. How would you collaborate with data scientists and engineers on a new detection capability? I would translate investigative findings into clear behavioral hypotheses, labels, candidate features, and success metrics. With data scientists, I would validate model performance and explainability; with engineers, I would define implementation requirements, alerting, rollout safeguards, and monitoring so the capability is reliable in production. Opportunity details ## About this role. Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to[hundreds of thousands of businesses](https://customers.twilio.com/)and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to [remote-first work](https://www.twilio.com/en-us/blog/open-work), and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next emerging Fraud Researcher. About the job This position is needed to detect emerging fraud trends and behaviors on Twilio Network, across all channels – voice, messaging and email. You will work on researching new fraud behaviors by analyzing industry trends and analyzing billions of events using AI tools. Responsibilities In this role, you’ll: * 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. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: * 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. Desired: * 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. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: * Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 (Developing Minimum for Tier 3) – $213,900 (Mid for Tier 3). * Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 (Developing Minimum for Tier 2) – $226,500 (Mid for Tier 2). * Based in the San Francisco Bay area, California: $201,280 (Developing Minimum for Tier 1) – $251,600 (Mid for Tier 1). * This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until October 14, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call [Twilio Magic](https://www.twilio.com/company/values). Additionally, we empower employees to build [positive change in their communities](https://twilio.org/support-and-resources/impact-fund) by supporting their volunteering and donation efforts. So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, [please consider other open positions.](https://www.twilio.com/company/jobs#open-positions) . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @[twilio.com](http://twilio.com) email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. 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