Senior Anti-Fraud Strategy Engineer

About the role

Tencent's Corporate Development Group (CDG) is looking for a Senior Anti-Fraud Strategy Engineer to build and run anti-fraud strategies for its overseas Ad Network (AdN). The role covers pre-bid, in-flight and post-event phases, targeting fraud schemes such as IVT and click farms across multiple ad formats.

Key responsibilities

• Develop and iterate end-to-end anti-fraud strategies for the overseas AdN, covering pre-bid, in-flight and post-event phases, and target fraud schemes such as IVT and click farms across ad formats.
• Use distributed data platforms and large-scale models (LLMs) to mine ad events deeply, integrate AI for precise risk identification, extract high-value features and turn insights into strategies.
• Define and track core anti-fraud KPIs and use A/B testing to optimise strategy precision while balancing fraud prevention with legitimate traffic growth.
• Work with Data Science, Engineering, Product and Business teams to deploy strategies into real-time risk engines with low latency.
• Monitor global ad fraud trends and industry standards, and adjust strategies to counter emerging threats in key overseas markets.
• Manage fraud-related disputes with publishers and advertisers, promote anti-fraud best practices and ensure compliance with data privacy regulations.

Required profile

• Bachelor's degree or above in Computer Science, Statistics, Mathematics, Data Science or a related field.
• 3-5+ years of hands-on experience in anti-fraud strategy, traffic quality or risk management within the mobile ad tech industry.
• In-depth understanding of the mobile ad ecosystem, attribution logic, monetization models and industry standards (e.g. IAB).
• Deep knowledge of ad fraud tactics and proven experience designing anti-fraud strategies and AI-driven risk identification.
• Fluent English, written and spoken, with the ability to collaborate with global teams.
• Strong analytical thinking and problem-solving skills, able to work independently in a fast-paced environment.

Required skills

• SQL and Python (required); experience with LLM applications is a strong advantage.
• Familiarity with distributed data platforms and data processing and analysis.
• Preferred: prior overseas ad business or AdN experience at top tech companies, AI/ML fraud detection experience, real-time stream processing frameworks (e.g. Flink, Kafka), rule engines or big data platforms, game ad monetization or app ecosystem experience, TAG certification or compliance experience.