Global Banking & Markets, Quantitative Volatility Trading Data Engineer, Vice President, Hong Kong

Goldman Sachs; Hong Kong; On-site; HKD 480,000 - 800,000; Full time

Job summary

Goldman Sachs in Hong Kong is seeking an experienced Data Engineer for the Quantitative Volatility Trading team. You will design and build flexible, scalable data onboarding and research pipelines to support the option trading business.

You will work with trading, research, and engineering to ensure data is delivered in the right shape and accessible for signal deployment, analytics, and decision making. Strong SQL/Python skills and a systems-thinking mindset are essential.

Qualifications

• Minimum 5 years of experience as a data engineer or similar role.
• Strong Python and SQL programming skills with modern data tools.
• Experience designing scalable data systems and pipelines.
• Collaborative team player who can drive change.

Responsibilities

• Build flexible data onboarding and research pipelines.
• Deliver data in the right shape to accelerate trading.
• Collaborate with trading, research, and engineering teams.
• Support end-to-end data lifecycle from onboarding to signal deployment.

Skills

Python

SQL

Data tools

Systems thinking

Team collaboration

Job description

Job Description

Quantitative Volatility Trading, Goldman Sachs' electronic market making team, is looking for an experienced Data Engineer to help grow its option trading business in Hong Kong. In this role you will work closely with trading, research and engineering to deliver data in the right shape and manner to accelerate our business. You will design and build flexible, scalable solutions for data onboarding and research workflows that permit team members to easily build and extend existing data pipelines. Your work will span the entire data lifecycle from onboarding all the way to signal deployment. If you have a passion for technology, data and trading then this could be the role for you.

Skills And Experience

• Minimum 5 years experience as a data engineer or similar role
• Strong programming skills in Python and SQL along with modern data tools
• A track record of strong systems thinking and ability to design systems at scale
• Collaborative and effective at driving change as part of a team

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html ©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.