Risk Strategy & Operations Analyst Graduate (Business Integrity Team) - 2027 Start
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- New Grad
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
About the team The Risk Governance Operations Team is responsible for perceiving and reducing the prevalence of bad Ads through content and actor risk strategy management and risk platform enhancement. We aim to provide proactive and precise operations to preserve TikTok as a safe, positive, and welcoming environment for our users.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities: Risk Strategy & Governance - Design and execute risk control strategies based on ad content, user behavior, historical data, expert insights, and regulatory trends. - Develop and operationalize intelligent risk governance frameworks that balance risk mitigation with monetization and user experience objectives. - Monitor and interpret risk signals, identify root causes of metric fluctuations, and build governance solutions with quantifiable impact.
Cross-Functional Program Leadership - Lead high-impact, cross-functional projects involving product, operations, policy, data science, engineering, and regional teams. - Develop prioritization frameworks to manage program scope, resources, and timelines effectively. - Serve as a thought partner to leadership and drive alignment on strategy, execution, and success metrics.
Data-Driven Execution - Translate complex datasets into actionable risk insights using tools like SQL, Hive, or Spark. - Collaborate with data science and engineering teams to evaluate the effectiveness of risk features and governance mechanisms. - Drive continuous iteration and performance evaluation of risk mitigation strategies based on data and feedback loops.
Operational Optimization - Create scalable processes and standard operating procedures to improve quality, efficiency, and SLA adherence across risk workflows. - Collaborate with Trust & Safety, policy, and regional operations teams to align on global standards for enforcement and escalation.