What You Will Do:
- Responsible for risk management of global business, design and develop data-driven risk control rules and models as well as analytics applications that will convert raw data into meaningful insights by utilizing data-focused programming languages and visualization software, including but not limited to account security, payment security, and anti-bot scenarios.
- Apply data mining, data modeling and machine learning to extract risk patterns from raw data into meaningful information.
- Monitor and analyze malicious behaviors and risk cases through comprehensive data analysis and visualisation methods.
- Present, analyze, and communicate data discoveries, and generate interactive data reports.
- Collaborate with the business team, R&D team, data team, and other operations to design and optimize risk management.
What We Are Looking For:
- Bachelor's degree or above in Computer Science, Information Technology, Data Science/Analytics, Computer Programming and Systems Analysis or related disciplines. At least 2 years of relevant working experience in the risk control field.
- Proven experience in data mining and machine learning methods and their mathematical base.
- Possess strong data analysis skills (with proficiency in either Python or SQL) is a must.
- Familiar with large-scale data processing tools (Hive, Spark, Flink) is a plus.
- Excellent written and verbal communication skills in English and fluent oral Chinese to liaise with teams.
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