Fraud Risk Analyst — Automation, Policy & Safety

TikTok USDS Joint Venture

Los Angeles (CA)

On-site

USD 91,000 - 160,000

Full time

14 days+
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Job summary

TikTok USDS Joint Venture LLC is seeking an Anti-Fraud Analyst to investigate fraudulent activity on the TikTok Shop platform and to build automated detection rules. You will work cross-functionally to strengthen policies and product defenses and track key fraud metrics. The role emphasizes on-site collaboration in Los Angeles.

The team focuses on ensuring safety and trust for users, sellers, and creators, with a fast-paced environment that values proactive risk management and scalable solutions.

Qualifications

  • 2+ years in fraud/risk detection, enforcement, and investigations.
  • Proficient in MySQL or other querying languages.
  • Ability to analyze and derive insights from data.
  • Experience creating rules or models to automate fraud detection.
  • Strong analytical thinking and problem-solving.
  • Experience managing projects and coordinating with regional and cross-functional partners.
  • Able to work independently in a fast-paced environment.
  • Preferred: experience with LLM prompt engineering or LLM agent development.
  • Preferred: Python or scripting languages.

Responsibilities

  • Investigate and analyze fraudulent activity within TikTok's e-commerce platform.
  • Develop automated detection and enforcement rules to close fraud loopholes.
  • Improve operational efficiency and push for policy and product enhancements.
  • Track key metrics to monitor progress and report findings.
  • Maintain enforcement rules to ensure accuracy and compliance.
  • Provide training on fraud detection techniques.

Skills

Fraud detection
MySQL
Data analysis
Automation rules
Cross-functional
Independent work
Project coordination
LLM prompt engineering
Python

Job description

TikTok USDS Joint Venture LLC is seeking an Anti-Fraud Analyst to investigate fraudulent activity on the TikTok Shop platform and to build automated detection rules. You will work cross-functionally to strengthen policies and product defenses and track key fraud metrics. The role emphasizes on-site collaboration in Los Angeles.

The team focuses on ensuring safety and trust for users, sellers, and creators, with a fast-paced environment that values proactive risk management and scalable solutions.

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