Summary
Andy Fang is an Engineering Manager leading Central Risk Engineering at Citadel with 13 years of experience building large-scale, production-grade systems. He moved from cloud infrastructure work at Airbnb—where he built high-throughput queueing, multi-cluster Kafka tooling, and a widely noted thrift serializer—to risk and equities analytics platforms, owning performance attribution and risk decomposition. Comfortable across distributed systems, data platforms, and JVM/Kubernetes production tooling, he blends hands-on engineering with team leadership and mentorship. Based in New York, he pairs a Georgia Tech CS background with a track record of turning research-scale ideas (large-scale visualization and memory-mapped computation) into robust, deployable services. He’s particularly adept at translating low-latency financial requirements into scalable infrastructure and developer-friendly tools.
13 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Georgia Institute of Technology
CS 120x: Distributed Machine Learning with Apache Spark, CS 120x: Distributed Machine Learning with Apache Spark at edX
High School, High School/Secondary Diplomas and Certificates, High School, High School/Secondary Diplomas and Certificates at Urumqi No.1 High School
English, Chinese