广告治理运营风险策略专员

We are part of Global Monetization Product and Technology-Business Integrity-Governance.

The Actor Strategy team focuses on securing the ad platform by tackling risks in the advertising ecosystem—such as fraud, impersonation, account takeover (ATO), over-spending, small bad debts, and spam registrations.

We balance risk management with user experience to support TikTok Ads' healthy growth.

The team continuously enhances its capabilities through platformization, intelligence, and automation, driving smart solutions powered by AI agents, machine learning models, and strategic rules.

- Own core risk metrics: define monitoring definitions, break down targets, conduct trend insights and root-cause analysis, and produce clear conclusions with prioritized action plans.

- Build tiered governance strategies for high-risk industries/regions/attack patterns (e.g., access control, risk controls, enforcement, appeals) and push them into product/system implementation.

- Work closely with Product, Engineering, and Algorithms to convert operational risk signals into executable solutions (strategy rules, model requirements, enforcement workflows, platform capabilities), and drive launch + iteration.

- Make strong trade-offs in complex scenarios: strike fraud hard while protecting legitimate advertisers, reducing false positives and ineffective appeals.

- Promote evidence-based governance: define evidence chain standards and traceable review/enforcement mechanisms to improve interpretability and auditability.

- Leverage traditional predictive models plus LLMs/Agents to explore automated evidence collection, automated investigation, and automated enforcement, upgrading from labor-intensive ops to tech-driven governance.

- Build incident response mechanisms for high-risk events: quickly identify issues, mobilize cross-functional mitigation, run postmortems, and turn lessons into long-term system improvements—raising overall stability and response efficiency.

- 3+ years of experience in risk control / anti-fraud / Trust & Safety / ads integrity / risk strategy, with proven ownership of metric outcomes.

able to independently build metric frameworks, perform attribution analysis, build dashboards, and evaluate impact (A/B tests, holdout, pre/post comparisons).

- Solid strategy ops methodology: risk discovery → rules/model/process design → launch iteration → monitoring & retros → platformized capability building.

- Strong cross-functional communication and execution: able to explain complex problems clearly, align key stakeholders, and drive delivery to launch.

- Fast learner with strong adaptability: quickly understands new business models, evolving attack patterns, and new tech, and turns them into actionable plans.

- High proficiency in English and Mandarin listening, speaking, reading and writing.

Both English and Mandarin skill sets are required to support clients in China and to communicate with stakeholders.

- Experience in ads ecosystem risk, payments risk, credit/bad debt, or account security (ATO).

- Familiar with common risk modeling approaches (LR/GBDT), feature engineering, threshold strategy, recall/precision trade-offs;

practical understanding of LLM/Agent applicability and limits in governance.

- Experience building scalable platforms/workflows that move from "manual ops" to “system capability + automation.”