Vice President, Quantitative Volatility Trading Data Engineer Greater Hong Kong Area

The Company is seeking an experienced Data Engineer to support the growth of its quantitative volatility trading business. The role involves working closely with trading, research, and engineering teams to deliver data that accelerates business and research workflows. The successful candidate will design and build flexible, scalable solutions for data onboarding and reusable data pipelines. Responsibilities span the data lifecycle, from onboarding data through to deploying signals. Candidates should have at least five years of experience as a data engineer or in a similar role. Strong programming skills in Python and SQL, along with experience using modern data tools, are required. Applicants should demonstrate systems thinking and the ability to design systems at scale. The role also calls for collaboration and the ability to drive change as part of a team.

Hiring Company

Goldman Sachs