Summary
Leo Wong is an Associate Director and quantitative backend engineer with nine years’ experience building data platforms, cloud infrastructure, and quant systems across Hong Kong’s finance sector. He has led Azure greenfield deployments, standardized CI/CD for GitLab-to-Azure pipelines, and modernized legacy apps onto container platforms while balancing production support and team mentorship. His background blends quantitative finance and computer science from HKUST with hands-on work on portfolio optimization engines, machine-learning alpha prototypes, and high-coverage Java microservices. Comfortable across Python, Java, Databricks and cloud services, he repeatedly turns manual processes into automated, auditable pipelines that save hundreds of hours. Known for running agile rituals and technical forums, he pairs technical stewardship with practical delivery in FinTech and data governance contexts.
9 years of coding experience
4 years of employment as a software developer
Queen's College 皇仁書院
Hong Kong University of Science and Technology (HKUST)
Chinese, Chinese, English