Responsibilities
1. Carry out systematic research and analysis based on historical data and expert experience, develop and mine relevant characteristics of transactions, user behavior and other valuable to risk strategies and prediction models, design security strategies for risks such as theft, fraud, and cheating, and continuously optimize them 2. Deeply cooperate with the business, balance payment experience and risk control, design, implement, monitor and iterate risk control strategies to balance transaction risks and transaction conversion rates, and ensure the healthy development of the business 3. Track and analyze real-time data, promptly respond to possible fraud attacks that occur and arrange corresponding strategies 4. Deeply cooperate with data, products, and technical teams to build risk engine middle-end capabilities assist support risk control team projects to help achieve the overall goals of the team 5. Assist the team in cross-departmental resource integration, convey effective insights and suggestions to team members and management.
Qualifications
1. Bachelor degree or above 2. A solid foundation in data analysis, proficient in at least one conventional data analysis tool, such as: SQL, R or Python, etc. understand the use of data visualization tools (such as tableau, Power BI) as a plus 3. Actively drive, result-oriented, able to adapt to working in a fast-paced environment 4. Be curious, have the ability to identify new risk management methods, and be able to think about problems creatively 5. Base Shanghai.
