Position Overview
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
- Bachelorβs 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...