TikTok Shop - Anti-Fraud Risk Data Analyst

$101,080 - $168,888/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

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

About the position

The TikTok E-commerce governance platform product team is focused on enhancing the efficiency and experience of governance strategies, operations, and customer service. This role involves monitoring and analyzing potential fraudulent activities, designing processes to combat fraud, and collaborating with cross-functional teams to improve existing tools and models. The position aims to create a secure and intuitive e-commerce ecosystem for users and brands, leveraging data analysis and strategic insights to mitigate risks and enhance user experience.

Responsibilities

• 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 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.
• Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.
• Supervise analysts and provide guidance on fraud policies, enforcement measures, and influence key stakeholders.
• Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

Requirements

• Relevant experience in one of the following areas: Antifraud, Risk Management, Trust & Safety, Data Analytic, Data Science, Strategy in eCommerce or Tech industry in general.
• Bachelor's degree or above with a background in Computer Science, Business Analytic, Math, Statistics, or related field.
• Data analysis and correlation skills with ability to work through complex and unfamiliar data sets, attention to detail and ability to notice discrepancies in data; experience with SQL and analytical tools (SAS, R, Python) is a must.
• Comfortable in a matrix organization and 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) and 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.