Global Banking & Markets, Quantitative Volatility Trading Data Engineer, Vice President, Hong Kong
Goldman Sachs17 days ago
Hong Kong, Hong KongStaff+
Responsibilities
- Design and build flexible, scalable solutions for data onboarding and research workflows.
- Enable team members to build and extend existing data pipelines.
- Support the full data lifecycle from data onboarding through signal deployment.
- Work closely with trading, research, and engineering teams to deliver data in the appropriate shape and manner.
- Drive change collaboratively as part of a team.
Requirements
- At least 5 years of experience as a data engineer or in a similar role.
- Strong programming skills in Python and SQL.
- Experience with modern data tools.
- Demonstrated systems thinking and ability to design systems at scale.
- Collaborative approach and ability to drive change as part of a team.
Benefits
- Training and development opportunities, firmwide professional networks, benefits, wellness and personal finance offerings, and mindfulness programs.
- Hong Kong-based role.
About Goldman Sachs
Goldman Sachs is a global financial services firm that provides investment banking, securities trading, and asset and wealth management to corporations, financial institutions, governments, and individuals. Its businesses generate revenue from advisory and underwriting fees, trading and financing, and management fees on client assets. Founded in 1869 and headquartered in New York City, it operates worldwide and is listed on the NYSE under the ticker GS.