Job Responsibilities 

• Risk Identification and Assessment 
• Responsible for risk control related to exchange activities, including pre-activity risk assessment and suggesting rule modifications;  
• Identify potential risk points through data analysis (including but not limited to invalid registrations, order brushing, arbitrage, etc.), and produce risk assessment reports;
• Monitor the entire data chain of agents, establish multidimensional anomaly detection indicators, and identify potential risks;
• Conduct risk assessments for agents, including user trading arbitrage, activity exploitation, data anomalies, etc.
• Strategy and Monitoring 
• Establish relevant thresholds and automated interception strategies for activities to ensure reasonable allocation of activity resources;  
• Real-time monitoring of activity data (such as user behavior, transaction flow, traffic anomalies, etc.), and timely handling of emergent risk events;
• Collaborate with operations to develop risk management solutions for agents (including but not limited to warnings, commission reductions, refunding, etc.).
• Activity Data Analysis and Model Iteration 
• Analyze user behavior data using tools like SQL/Python to build a risk feature library and early warning models;  
• Continuously optimize risk control algorithms to enhance the accuracy and coverage of risk identification;  
• Regularly review activity award lists to exclude users with abnormal behaviors;
• Collaborate with the development team to produce automated monitoring tools (including but not limited to agent data dashboards, real-time warning systems) to improve risk investigation efficiency.

Job Requirements 

• 1-5 years of experience in risk control and data analysis, with a preference for backgrounds in operational risk control, event risk control, exchanges, or related industries.
• Age requirement: 25-40 years old, with a bachelor's degree or higher, preferably in statistics, computer science, finance, risk management, or related fields. 
• Possess knowledge of blockchain and exchange market structures. 
• Proficient in data analysis tools (Excel/SQL/Python) and possess data modeling capabilities. 
• Familiar with common risk scenarios (such as "wool pulling" tactics, abnormal trading, etc.) and corresponding response strategies. 
• Clear logic, strong ability to work under pressure, and effective cross-departmental communication skills.