- Design and optimize end-to-end safety frameworks, including policies, workflows, and rule engines, to safeguard user accounts while continuously enhancing overall user experience and minimizing friction.
- Leverage data analytics and machine learning techniques to identify behavioral patterns, detect anomalies, and proactively uncover malicious activities across the WeChat ecosystem.
- Develop and iterate fraud detection strategies, including risk signals, feature engineering, and rule-based / model-driven approaches to effectively identify and mitigate spam, abuse, and fraudulent accounts.
- Build, deploy, and maintain scalable machine learning models for real-time risk detection, ensuring high precision and recall while adapting to evolving threat patterns.
- Partner cross-functionally with engineering, product, and risk teams to translate data insights into production-ready safety solutions, ensuring alignment between detection capability, system performance, and business goals.
- Continuously evaluate and optimize model performance, balancing trade-offs between user experience and risk control through A/B testing, monitoring, and feedback loops.
- Stay ahead of emerging fraud patterns and adversarial behaviors, incorporating new data signals and advanced modeling techniques (e.g., graph-based detection, LLM-assisted analysis) to strengthen detection capabilities.
- Minimum 2 years of work experience equipped with a Bachelor degree in Computer Science, Data Science, Mathematics, Economics, or Statistics or similar quantitative field
- Ability to communicate complex ideas to non-technical stakeholders in a way they can easily understand and appreciate.
- Experience on building machine learning or deep learning solutions
- Good knowledge of Python programming language, C/C++/Go programming language is preferred
- Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences
- Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Mathematics, Economics, Statistics, or similar quantitative field
- Minimum 2 years of relevant work experience
- Experience building machine learning or deep learning solutions
- Proficiency in Python
- Experience with feature engineering, anomaly detection, and real-time risk detection
- Ability to communicate complex ideas to non-technical stakeholders
- Fluency in English and Mandarin
- Experience with graph-based detection and LLM-assisted analysis
- Knowledge of C, C++ or Go
- Experience with A/B testing, monitoring, and model performance optimization
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
Tencent Insights
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
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