Responsibilities
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 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.
Mentor junior 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.
Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology Management, Information Systems, Analytics, Data Technologies, or a related field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology Management, Information Systems, Analytics, Data Technologies, or a related field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
Building, tuning, and validating statistical models for regression and classification problems in Python or R.
Employer: TikTok USDS Joint Venture LLC (Please note that on December 19, 2025, TikTok U.S. Data Security Inc. was issued a certificate of conversion from a corporation to a limited liability company and changed its name to TikTok USDS Joint Venture LLC.)
Type: Full time, 40 hours/week
Location: Bellevue, WA
Salary Range: $132288 - $168889 per year
To apply, and for information on benefits offered, visit: https://lifeattiktok.com/ and type Job ID A83938 in search bar. Contact lpresumes@tiktokusds.com if you have difficulty applying through our website.
