Fraud Analyst

Zoom is hiring a Fraud Analyst to support its Anti-Fraud team as operational demands grow and new products launch. The role focuses on investigating fraudulent activity, improving detection and automation, and helping maintain platform integrity while supporting on-call response quality.

• Analyze fraud alerts and customer tickets to identify and mitigate fraudulent activity.
• Investigate emerging fraud patterns and use data insights to enhance detection systems.
• Develop and maintain reports summarizing fraud trends and performance metrics.
• Collaborate with cross-functional partners (e.g., data engineering, product, security) to improve workflows and communication.
• Participate in on-call rotations and make timely decisions to protect platform integrity.

• Academic foundation in Computer Science, Data Analysis, or a related field.
• 2+ years of hands-on analytical experience using SQL and Python.
• Ability to interpret complex datasets and produce actionable insights to improve fraud detection.
• Problem-solving mindset; able to translate technical findings into clear business logic.
• Strong communication skills in fast-paced, cross-functional environments.
• Collaborative approach, curiosity, ownership, and continuous improvement attitude.

• Ways of working: structured hybrid approach (hybrid/remote/in-person depends on role indication).
• Compensation: location-based ranges; total direct compensation may include base salary, bonus, and equity.
• Benefits: program supporting physical, mental, emotional, and financial health; work-life balance; community contribution.
• Application window: at least 5 days; anticipated close date 03/18/26.
• On-call rotation required.