出海雷达

新兴欺诈研究员

Emerging Fraud Researcher

其他限定地区(需当地身份)
公司Twilio
薪资未公开
工作地点Remote - US
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间29 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - US 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

我们是谁

在 Twilio,我们正在塑造通信的未来,一切都在家中的舒适环境中进行。我们为数十万家企业提供创新解决方案,并赋能全球数百万开发者打造个性化的客户体验。

我们致力于远程优先的工作方式,以及紧密联系和全球包容的文化,这意味着无论你身处何地,你都是一个充满活力的团队的一部分,每天用多样化的经验产生全球影响。随着我们继续革新世界互动的方式,我们不断学习新技能和经验,让工作真正令人满意。你在 Twilio 的职业生涯由你自己掌握。

招聘与我们的工作方式

我们使用人工智能(AI)来帮助提高招聘效率。但与此同时,每个招聘决定都由真实的 Twilions 做出!

此外,虽然我们是一家远程优先的公司,但你可能会被要求不定期地亲自到场参加团队聚会、部门会议或客户会议。

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在 Twilio 看到自己

加入我们,成为 Twilio 下一位新兴欺诈研究员。

职位简介

该职位负责检测 Twilio 网络上新兴的欺诈趋势和行为,涵盖所有渠道——语音、消息和电子邮件。你将通过分析行业趋势和使用 AI 工具分析数十亿事件来研究新的欺诈行为。

职责

在这个职位中,你将:

  • 使用 AI 工具独立进行研究,识别新型的欺诈趋势
  • 与数据科学家合作,构建机器学习模型以大规模检测欺诈行为
  • 持续对网络进行压力测试,发现潜在漏洞
  • 分析大规模的消息和语音流量,识别欺诈活动的新模式,包括 AIT 和 ATO
  • 制定并执行主动的欺诈缓解策略,保护客户和网络
  • 与数据科学和工程团队合作,优化检测模型并减少误报
  • 对高影响的欺诈事件进行深入调查,提供根本原因分析和可操作的建议
  • 监控欺诈和机器人检测领域的行业趋势,保持竞争优势

资格要求

Twilio 重视来自各种行业的多样化经验,我们鼓励所有符合要求的申请人申请。如果你的职业才刚刚起步,或者没有走传统的路径,不要因此而放弃考虑 Twilio。我们一直在寻找有热情的人才

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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 and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first 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.
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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. 
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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. Additionally, we empower employees to build positive change in their communities 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.

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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 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.

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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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