Fraud Analyst

Zoom

2d • Remote

About The Position

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. About the Team 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees