Zoom

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Fraud Analyst

Security AnalystSecurity AnalystFull TimeRemoteTeam 11,053Since 2013Company Site

Location

United States

Posted

6 days ago

Salary

Not specified

SQLPythonData AnalysisFraud DetectionInvestigationReportingAutomationCross Functional CollaborationOn Call Support

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Anti-Fraud team requires additional resources due to growing operational demands and the strategic expansion of Zoom’s offerings. An Analyst is needed to manage investigative workloads and support automation and detection efforts. This ensures adequate capacity for new product launches while sustaining high-quality responses during on-call rotations. Maintaining platform integrity and meeting customer service standards remains a priority.

The Anti-Fraud team protects the platform’s integrity by identifying, investigating, and preventing fraudulent activities across various products and services. This team collaborates with data engineering, product, and security teams to develop scalable detection systems and improve automation. The focus is on delivering a secure and seamless experience for users while adapting to evolving fraud trends. The team employs an analytical approach, combining operational accuracy with innovation. Collaboration, data-based decision-making, and ongoing improvement are core principles guiding their work.

Responsibilities

  • Analyzing fraud alerts and customer tickets to identify and mitigate fraudulent activity.
  • Investigating emerging fraud patterns using data insights to enhance detection systems.
  • Developing and maintaining reports summarizing fraud trends and performance metrics.
  • Collaborating with cross-functional teams to improve workflows and communication.
  • Participating in on-call rotations, making timely decisions to protect platform integrity.

Qualifications

  • Bring an academic foundation in Computer Science, Data Analysis, or a related field, combined with 2+ years of hands-on analytical experience using SQL and Python.
  • Create actionable insights from complex datasets to drive fraud detection improvements.
  • Able to interpret complex datasets and deliver actionable insights.
  • Demonstrate a problem-solving mindset and the ability to translate technical findings into clear business logic.
  • Communicate effectively across teams to ensure alignment and clarity in fast-paced environments.
  • Build collaborative relationships with cross-functional partners to enhance fraud prevention strategies.
  • Bring curiosity, ownership, and a continuous improvement attitude to every investigation and project.

Requirements

  • Salary Range or On Target Earnings:
  • Minimum: $98,900.00
  • Maximum: $228,700.00
  • In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus, and equity value.
  • Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
  • We also have a location-based compensation structure; there may be a different range for candidates in this and other locations.
  • Anticipated Position Close Date: 03/18/26

Benefits

  • Our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health.
  • Support work-life balance and contribute to their community in meaningful ways.

Job Requirements

  • Bring an academic foundation in Computer Science, Data Analysis, or a related field, combined with 2+ years of hands-on analytical experience using SQL and Python.
  • Create actionable insights from complex datasets to drive fraud detection improvements.
  • Able to interpret complex datasets and deliver actionable insights.
  • Demonstrate a problem-solving mindset and the ability to translate technical findings into clear business logic.
  • Communicate effectively across teams to ensure alignment and clarity in fast-paced environments.
  • Build collaborative relationships with cross-functional partners to enhance fraud prevention strategies.
  • Bring curiosity, ownership, and a continuous improvement attitude to every investigation and project.
  • Salary Range or On Target Earnings:
  • Minimum: $98,900.00
  • Maximum: $228,700.00
  • In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus, and equity value.
  • Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
  • We also have a location-based compensation structure; there may be a different range for candidates in this and other locations.
  • Anticipated Position Close Date: 03/18/26

Benefits

  • Our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health.
  • Support work-life balance and contribute to their community in meaningful ways.

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