Anti-Fraud Data Analyst - USDS

$136,800 - $228,000/Yr

Tiktok - Seattle, WA

Full-time

Hybrid - Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

About TikTok U.S. Data Security TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. 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 Us Creation 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

• Manage end-to-end large-scale quantitative analysis projects and monitoring systems.
• 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 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 the 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.

Requirements

• 3 years of relevant experience in Antifraud, Risk Management, Trust & Safety, Data Analytic, Data Science, or Strategy in eCommerce or Tech industry.
• Bachelor's degree or above with a background in Computer Science, Business Analytic, Math, Statistics, or related field.
• Data analysis and correlation skills with the ability to work through complex and unfamiliar data sets; experience with SQL and analytical tools (SAS, R, Python) is a must.
• Comfortable in a matrix organization and able to drive cross-functional and cross-regional collaborations.
• Interpersonal skills with the ability to build relationships and effectively liaise with people at all levels.

Nice-to-haves

• Experience with AI and machine learning is a plus.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.