Risk Analyst

TikTok; San Jose (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

TikTok's Global Monetization Product and Technology - Business Integrity - Governance team seeks a skilled risk strategist in San Jose. You will analyze risks, design AI-assisted workflows, and implement governance solutions that protect the ad platform while enabling healthy growth.

Responsibilities include escalating risk signals, triaging cases, and collaborating with product, engineering, and policy teams to drive strategic risk initiatives and maintain policy alignment.

Qualifications

• Must have quantitative background and strong analytical skills.
• Experience distilling stakeholder needs into clear priorities is a plus.
• Familiarity with risk management concepts across ads and content is beneficial.

Responsibilities

• Identify and mitigate risks in advertising ecosystem while balancing revenue objectives.
• Design AI/Agent-assisted risk workflows and governance solutions.
• Lead cross-functional initiatives and track progress against targets.
• Collaborate with product, engineering, algorithms, and policy teams to reduce risk.

Skills

Data-driven analysis

SQL

Python

Risk management

Cross-functional leadership

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

AI/LLM tooling

Job description

About the team

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.

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.

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.