Payment risk control strategy-risk control

1. Use various effective machine learning methods and strategies to monitor, detect and identify account theft, card theft and fraud 2. Construct feature tags for customer financial transaction behavior, including various dynamic and static features, time series behaviors, risk networks and geographical location identification tags, etc. 3. Be familiar with the whole process of risk control in various business scenarios of third-party payment, and formulate, optimize and iterate risk strategies for different business links 4. Establish an early warning risk monitoring system based on business data, risk control parameters, risk control strategies and models 5. Responsible for the deployment and implementation of payment business risk control rules or risk control models, and follow up on the daily operation of payment risk control strategies.

1. Bachelor degree or above, rich experience in risk control strategies, systematic payment risk control strategy experience is preferred 2. Proficiency in using data statistics tools such as SQL/Hive/Spark, mastering common languages such as Python/R is a bonus 3. In-depth understanding of online payment business, deep understanding of industry trends and technologies, and strong data processing and analysis capabilities are preferred.