Data Scientist, Risk Control

Who Are We?

HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content.

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Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills.

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Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields.

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In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Participate in developing data-driven risk control strategies and algorithm modeling, including but not limited to account risk, payment risk, and anti-bot risk.

• Participate in establishing robust risk algorithm system and enhancing risk perception capabilities.

• Apply data mining techniques to improve the risk labels system and user profiles.

• Monitor and analyze anomaly patterns and risk cases through comprehensive data analytics.

What We Are Looking For:

• Bachelor’s degree (or above), preferably in Statistics, Data Science, Computer Science or related fields.

• Good communication and teamwork skills.

• Good understanding of data structures and algorithms.

• Good understanding of common machine learning techniques.

• Strong data analytics skills, with proficiency in Python and SQL.

• Familiarity with large-scale data processing tools such as Hive, Spark, and Flink is a plus.

• Relevant experience in account risk, payment risk, and anti-bot risk is a plus.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you’re looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.