About Tencent
Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is Value for Users, Tech for Good. We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.
We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.
About WeChat
With over 1.2 billion users worldwide, WeChat is changing the mobile landscape by connecting people, services, and businesses in China and around-the world. The WeChat team in Singapore is responsible for managing and growing our core product including messaging and social networking for users around the world.
Join the WeChat team and play an impactful role in keeping people around the world connected, help redefine how people use their mobile devices to communicate and interact online and to better understand user behaviour and preferences of users worldwide.
Responsibilities
- 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.
Requirements
- 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
