Responsibilities
1. Responsible for daily special data analysis, strategy iteration, model optimization, and project management promotion and follow-up of user abnormal risk scenarios 2. Establish a risk behavior governance system by analyzing and reviewing cheating, fraud links and methods, and use strategies and model capabilities to fight against black and gray industry attacks, fraud and other risks on a daily basis, and reduce the level of related online risks 3. Familiar with the mainstream cheating techniques and tools of black and gray industries, monitor key channels and links, and test weak links in prevention and control 4. Accumulate risk operation capabilities and build processes and tools based on intelligent agents 5. Coordinate risk events in user dimensions at the platform level and cooperate with external teams to implement offline strikes against risk groups.
Qualifications
1. Bachelor degree or above 2. Good data analysis skills, such as proficiency in data analysis tools such as Hive and SQL, and the ability to discover risk points and promote solutions by mining data 3. Excellent cross-team collaboration, communication and coordination skills, good at thinking, and able to actively promote problem solving 4. Need to master the use of basic large model tools, and those who have used intelligent agents to optimize workflows are preferred 5. Those with risk strategy/group risk special/risk control experience are preferred.