.Quantitative Volatility Trading, Goldman Sachs’ electronic market-making team, is seeking a Quantitative Trader to help grow its options trading business in Hong Kong.
This role is ideal for a trader with 3+ years of experience in options market making or electronic trading who combines strong quantitative judgment with a hands-on approach to solving trading problems. You will work at the center of a highly automated trading business, making and improving real-time pricing and risk decisions across a complex options portfolio.
You will have direct responsibility for monitoring and optimizing our options market-making platform. In partnership with research and engineering, you will analyze system behavior, refine trading logic, improve models and tools, and help scale the business through better pricing, execution, and risk management.
This is a highly collaborative role for someone who is curious, commercially minded, and excited by fast feedback loops, complex market dynamics, and continuous improvement.
Responsibilities
- Make real-time trading and risk decisions across an electronic options market-making business
- Monitor and optimize the behavior of automated trading systems in live markets
- Analyze pricing, hedging, execution, and inventory outcomes to improve trading performance
- Investigate unusual market events, trading outcomes, and system behavior to identify actionable improvements
- Partner closely with quantitative researchers and software engineers to develop, test, and deploy new models, strategies, and tooling
- Contribute to the calibration and enhancement of options pricing and risk frameworks
- Help improve the scalability, robustness, and efficiency of the trading platform
- Use data-driven analysis to evaluate strategy performance and prioritize enhancements
Skills and Experience
- 3+ years of experience on an options market-making, electronic trading, or quantitative trading team
- Strong understanding of options pricing, volatility, and risk management across a multi-instrument book
- Demonstrated ability to apply systematic and analytical thinking to trading and risk problems
- Prior experience with reading and writing code in a professional capacity; Python and/or C++ a plus
- Comfortable working with data to analyze trading outcomes and improve decision-making
- Ability to operate effectively in a fast-paced, high-accountability environment
- Strong communication skills and a collaborative approach to working with traders, researchers, and engineers
Preferred Qualifications
- Experience working with electronic or automated market-making systems
- Familiarity with market microstructure, hedging workflows, and live risk management
- Experience evaluating or improving trading models, signals, or execution logic
- Knowledge of listed options in Asian or global markets
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