Job Description

• Design and implement high-performance, highly stable platform services
• Support data calculation needs for intelligent risk decision. Delivering high-quality and efficient data computing products
• Participate in offline and real-time data development to support risk analysis, model training, and other risk-related data needs
• Research, evaluate, and apply industry best practices and new technologies in anti-fraud system engineering
• Collaborate closely with product, algorithm/strategy, and platform teams to ensure smooth integration and evolution of the anti-fraud system.

Requirements

• Bachelor’s degree or above in computer science or a related field
• 5 + years of full time working experience as a software/backend Engineer
• Must have prior experience in big data platforms such as Flink, Spark
• Proven experience designing and optimizing high-concurrency, hi...