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Anti-Fraud Data Analyst - Usds

TikTok

$101,080 - $168,889
Aug 30, 2025
Seattle, WA, USA
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The Governance and Experience team at TikTok is responsible for ensuring the marketplace is safe and trustworthy for users, sellers, and creators. This role aims to combat fraudulent activities by developing and implementing anti-fraud measures and monitoring systems.

Requirements

  • Proficient in SQL and familiar with Python or R for data analysis
  • 1+ years of relevant experience in one of the following areas: Anti-fraud, Financial Services, Risk Management, Trust & Safety, Data Analytics, Data Science in eCommerce or Tech industry in general
  • Intellectually curious, data-driven, result-oriented, and has a high desire to learn and contribute
  • Ability to navigate ambiguity and show good judgement

Responsibilities

  • Manage end-to-end, large-scale quantitative analysis projects and monitoring systems
  • Apply investigational and analytical skills to monitor, audit, and analyze potential fraudulent cases and develop anti-fraud rules
  • Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management
  • Understand the trends and telemetry of fraudulent activities in each market and design effective monitoring tools to mitigate fraud
  • Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented
  • Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences
  • Communicate findings and complex results to key stakeholders and manage timelines of key projects

Other

  • Bachelor's degree
  • Excellent communication with the ability to work with global teams with little supervision
  • Willingness to travel 10-20% if needed
  • Bachelor's degree in mathematics, statistics, computer science, engineering is preferred