TikTok Shop - Ecommerce Anti-Fraud Data Analyst

About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the Team
Governance and Experience is a global team aiming to build a safe and trustworthy marketplace for not only users, but also partners. We value user experience and work on policies, rules, products and systems to ensure quality. We are looking for passionate talents to join us, thus together we can build a commerce ecosystem that is innovative, secure and intuitive for our users.

As part of GNE organization, the risk control and security team is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. As the Anti-fraud analyst, you will be responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities in various scenarios including transactions, KYC, and seller-creator affiliation.

Responsibilities
- Apply investigational and analytic skills to monitor, audit, and analyze potential fraudulent cases and produce root cause analysis report with value-added risk mitigation suggestions.
- Collaborate with product managers, data scientists, and the engineering team to evaluate the efficiency of existing tools, processes, and models related to fraud management.
- Understand the trends and intelligence of fraudulent activities in each market and build intelligence systems to mitigate fraud.
- Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
- Drive process implementation and improvement that streamlines determination of fake orders, incentive abuse, and/or other types of fraud.
- Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.