We serves customers around the world, and we are dedicated to providing safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., involving very high concurrent real-time risk calculations and massive big data analysis and processing. It adopts a multi-center deployment architecture around the world. You are welcome to build it together. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects:
1. Ultimate computing optimization at the millisecond level.
2. Behavior analysis and risk mining under massive data.
3. Global multi-center system architecture planning and high-availability solution design.
You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems. Welcome you to meet the challenge.
Responsibilities
Work closely with a cross-functional team to understand product requirements and legal constraints to build risk products.
Design and build systems for anti-fraud detection while balancing fraud loss, cost of implementation, and customer experience
Partner with data analysts on refining the data model used for reporting and analytical purposes
2+ years of software engineering experience, end-to-end process ownership and customer obsession.
Proven expertise in any or all of the programming languages Java, SQL, Scala and related technology stacks.
Experience with cloud computing fundamentals and building applications using cloud managed services.
Knowledge & experience in data streaming technologies or big data technologies such as Apache Kafka, Flink, Spark, Hadoop etc.
Willingness to adapt to and self learn new technologies and deliver on them.
Additional Qualifications (not Required, But Each Is a Plus)
Prior experience in anti-fraud/risk industry, have practical experience of fraud or abuse analysis, investigation, and/or risk products development.
Prior experience building/working with ML platforms/frameworks.
