Anti-Fraud Data Analyst - USDS

About TikTok . Data SecurityTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.

Data Security ( USDS ) is a subsidiary of TikTok in the . This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep .

users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, 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 communities we serve. Join us. About the Team : Governance and Experience 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. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department.

We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities : - Experienced in managing end to end large-scale quantitative analysis projects and monitoring system - Apply investigational and analytic skills to monitor, audit, and analyze potential fraudulent cases and consolidate 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 intelligence of fraudulent activities in each local 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 timeline of key projects- Collaborate with cross-functional teams to come up with data-driven solutions - Manage and supervise analysts and provide guidance on fraud policies, enforcement measures, and influence key stakeholders

• Qualifications : - Bachelor degree or above is required. Major in mathematics, statistics, computer science, engineering is preferred- Proficient in SQL and familiar with Python or R for data analysis- 2 years of relevant experience in one of the following areas : Antifraud, Finance Service, Risk Management, Trust & Safety, Data Analytics, Data Science in eCommerce or Tech industry in general;
• A plus if you have knowledge or experience in Payment Risk and Fraud prevention- Excellent written and verbal communication with the ability to work with multi-cultural and global teams with little supervision- Intellectually curious, data-driven, result-oriented, high in agility and has a high desire to learn and contribute
15 days ago