Anti-Fraud Risk Data Analyst (Multiple Positions)

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
Join us.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Design processes and build effective workflows to define fraud types and identify new risks.
Collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.
Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.
Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
Monitor trends in fraudulent activities to build intelligence monitoring systems to mitigate fraud.
Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
Perform data analysis and create interactive visualizations to communicate findings and complex results and provide actionable insights to management.
Provide analysts with guidance on fraud policies and enforcement measures.