full-time
Global Banking & Markets, Quantitative Volatility Trading Data Engineer, Vice President, Hong Kong
Goldman Sachs
- Employer
- Goldman Sachs
- Location
- Hong Kong
- Working pattern
- on-site
About the role
You will design and build scalable data onboarding and research workflow solutions to support the quantitative volatility trading business. The role involves managing the entire data lifecycle from initial onboarding through to signal deployment. Candidates must have a minimum of 5 years of experience in data engineering or a similar role. Strong proficiency in Python, SQL, and modern data tools is required, along with a proven track record in systems thinking.