Risk Analyst

About the team We are part of Global Monetization Product and Technology-Business Integrity-Governance. The Incident Response and Signal Operations team safeguards the advertising platform by identifying and mitigating ecosystem risks surfaced through public, government relations, legal, and external user signals. We balance risk management with user experience to enable the healthy growth of TikTok Ads, leveraging AI agents, machine learning, automation, and strategic rule engines to build intelligent, scalable risk solutions while continuously strengthening moderation models through rigorous testing and optimization. Responsibilities - Interpret, analyze, and assess risks, emergency situations, and potential challenges. Develop and implement risk control operational plans while balancing business revenue objectives with effective risk control. - Explore, design, and iterate AI/Agent-assisted operational workflows, including automated risk signal discovery, evidence extraction, case triage, policy reasoning, anomaly monitoring, and strategy recommendation. Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, operational efficiency, and business impact. - Strategize, implement, and maintain risk program initiatives that adhere to organizational objectives. Take ownership of the project outcomes by setting clear targets, tracking progress, and holding the line to keep critical initiatives on track. - Collaborate with stakeholders across product, engineering, algorithms, and policy to improve existing systems and implement new solutions to reduce and mitigate risk. Qualifications Minimum Qualifications - Thrives in fast-paced, ambiguous environments and can lead cross-functional initiatives end-to-end. - Skilled at communicating and influencing across teams and regions; able to balance partner objectives with risk reduction to forge win-win outcomes. - Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or a related quantitative field. - 1+ years of experience in either: - Risk management — Content, account, ads, fraud, advertiser integrity, or post-conversion risk, with strong risk sensitivity and rapid response; or - Strategy/management consulting — Proven ability to distill competing stakeholder needs into clear strategic priorities and actionable next steps. Preferred Qualifications - Strong proficiency in data-driven analysis and statistical methods, with hands-on SQL and/or Python experience to diagnose problems, evaluate strategies, and inform decisions. - Practical experience with AI/LLM applications — including prompt engineering, AI-assisted analysis, workflow automation, agent-based tools, or human-in-the-loop review systems.