Summary
Bin Liu is a Senior Risk Lead with 13 years of experience applying statistics and large-scale data engineering to fraud, security, and risk problems across fintech and consumer platforms. Currently leading anti-fraud strategy at Xiaohongshu, he oversees security for e-commerce, livestream, and social community products and builds defenses informed by production-scale telemetry. His background spans quantitative anti-money-laundering work at Bank of America to data-mining and risk analytics roles at Alibaba, Alipay, and Tencent, grounded in a PhD in Statistics from Iowa State. A hands-on engineer as well as manager, he contributes to cloud-native open-source projects (notably Kata Containers, Harbor, and containerd tooling) improving monitoring, CI/testing, and backend robustness. That blend of academic rigor, product-focused risk strategy, and low-level systems contributions means he thinks both in probabilistic models and in the observability/operational plumbing needed to keep them effective in production. Based in Shanghai, he pairs deep domain expertise with practical systems hygiene to reduce fraud at scale.
13 years of coding experience
1 year of employment as a software developer
Ph D, Statistics, Ph D, Statistics at Iowa State University
BS, Statistics, BS, Statistics at University of Science and Technology of China