Quantitative Volatility Trader — Associate (HK)

Goldman Sachs; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

Goldman Sachs in Hong Kong is seeking a Quantitative Trader for its electronic market-making team to grow the options trading business. The role requires 3+ years of experience in options market making or electronic trading and a strong quantitative skill set with hands-on problem solving.

You will monitor and optimize real-time pricing and risk decisions, collaborate with researchers and software engineers, and contribute to model improvements, pricing enhancements, and platform scalability in

Qualifications

• 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.

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

Options market-making

Electronic trading

Python

C++

Data analysis

Communication

Tools

Python

C++

Job description

Goldman Sachs in Hong Kong is seeking a Quantitative Trader for its electronic market-making team to grow the options trading business. The role requires 3+ years of experience in options market making or electronic trading and a strong quantitative skill set with hands-on problem solving.

You will monitor and optimize real-time pricing and risk decisions, collaborate with researchers and software engineers, and contribute to model improvements, pricing enhancements, and platform scalability in