Risk Strategy & Operations Analyst (Mandarin Speaker)

TikTok; San Jose (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

TikTok is seeking a Risk Strategy & Operations Analyst to design risk control strategies for TikTok Commercial Ads. You will turn ambiguous risk problems into structured strategies, data-driven insights, and AI-assisted workflows to protect users and the ad ecosystem.

In this role you will analyze critical risks, develop operational plans, and collaborate with cross-functional teams to build governance tools, measure impact, and continuously improve risk management capabilities for a

Qualifications

• Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, CS, Data Science, or Business Analytics.
• 1+ years of risk management experience within the internet industry with strong risk sensitivity and rapid response capability.
• Strong data-driven operations and statistical analysis experience using SQL or Python.
• Practical understanding of AI/LLM applications, prompt engineering, AI-assisted analysis, workflow automation, or human-in-the-loop review systems.
• Ability to translate ambiguous risk problems into structured analytical, operational, and productized solutions.
• Excellent communication and coordination skills for cross-functional projects.
• Fluency in English and Mandarin; communication with global teams and partners.

Responsibilities

• Interpret, analyze, and assess critical risks and emergency situations; develop risk control plans balancing revenue with risk control.
• Drive risk metric diagnosis by attributing metric fluctuations and identifying scalable governance opportunities.
• Design AI/Agent-assisted workflows including automated risk signal discovery, evidence extraction, case triage, policy reasoning, and anomaly monitoring.
• Collaborate with engineering or data science teams to build AI-powered tools, risk platforms, and reviewer productivity solutions.
• Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, and business impact.
• Continue to accumulate risk mitigation capabilities to improve accuracy, scalability, and automation of commercial ads risk governance.

Skills

SQL

Python

Risk management

Data analysis

Communication

English & Mandarin

Education

Bachelor's degree in Mathematics / Statistics / CS / Data Science / Business Analytics

Tools

AI/LLM tools

Prompt engineering

Agent-based tools

Job description

Responsibilities

About the team The Risk Governance Team is responsible for perceiving and reducing the prevalence of bad ads, risk management platform enhancement, and AI-assisted governance capabilities. We aim to provide proactive, precise, and scalable operations to preserve TikTok as a safe, positive, and welcoming environment for our users.

About the role We are looking for a Risk Strategy & Operations Analyst to design risk control strategies for TikTok Commercial Ads. This role covers content security, behavioral risks, advertiser integrity, and other bottom-line user experience risks, based on ad content, historical data, expert insights, public opinion, legal/regulatory trends, and AI/LLM-powered analysis workflows. The ideal candidate should be able to turn ambiguous risk problems into structured strategies, data-driven insights, and AI-assisted operational solutions.

Responsibilities

• Interpret, analyze, and assess critical risks, emergency situations, and potential challenges. Develop and implement risk control operational plans while balancing business revenue objectives with effective risk control.
• Drive risk metric diagnosis by attributing metric fluctuations, quantifying the differentiation power of risk features, and identifying scalable governance opportunities.
• 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.
• Collaborate closely with cross-functional teams to translate governance needs into intelligent risk platforms, AI-assisted tools, processes, and mechanisms.
• Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, operational efficiency, and business impact.
• Accumulate and leverage risk mitigation and security capabilities to continuously improve the accuracy, scalability, and automation level of commercial ads risk governance.

Qualifications

Minimum Qualifications

• Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or a related quantitative field.
• 1+ years of experience in risk management within the internet industry, such as content risk, account risk, ads risk, fraud risk, advertiser integrity, or post-conversion risk, with strong risk sensitivity and rapid response capability.
• Strong proficiency in data-driven operations and statistical analysis, with hands-on experience using SQL and/or Python to diagnose problems, evaluate strategies, and support decision-making.
• Practical understanding of AI/LLM applications, such as prompt engineering, AI-assisted analysis, workflow automation, agent-based tools, or human-in-the-loop review systems.
• Ability to break down ambiguous risk problems into structured analytical, operational, and productized solutions.
• Excellent communication and coordination skills, with the ability to efficiently drive cross-functional project implementation.
• Fluency in both English and Mandarin required: the role involves frequent communication with global teams, clients and stakeholders in English-speaking regions as well as Chinese-speaking markets. Proficiency in Mandarin is essential to effectively engage with Chinese-speaking partners, understand cultural nuances, and navigate business transactions in key markets, ensuring smooth cross-cultural collaboration and market expansion.

Preferred Qualifications

• Prior experience in business integrity, commercial risk management, ads risk strategy, content safety, platform governance, fraud risk, or trust and safety.
• Hands-on experience building or deeply using AI agents, LLM-based workflows, RAG systems, prompt/evaluation frameworks, model-assisted review tools, or operational automation tools.
• Experience collaborating with engineering or data science teams to design AI-powered internal tools, risk platforms, decision engines, case investigation systems, or reviewer productivity solutions.
• Familiarity with model evaluation, risk taxonomy design, policy reasoning, multimodal content understanding, automated investigation workflows, or large-scale review operations is a