Associate Quantitative Volatility Trader – Real-Time Markets

Goldman Sachs; Hong Kong; Sur place; HKD 1 800 000 - 3 000 000; Plein temps

Avantages offerts par ce poste

Healthcare & Medical Insurance

Financial Wellness & Retirement

On-site health centers

Résumé du poste

Goldman Sachs' Quantitative Volatility Trading team in Hong Kong is seeking a Quantitative Trader with 3+ years of experience to grow its options trading business. You will help monitor, optimize, and scale real-time pricing and risk decisions across a complex options portfolio in a fast, automated environment.

You will collaborate with researchers and engineers to develop models, test ideas, and deploy new tooling while improving pricing, execution, and risk management.

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.

Responsabilités

• 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.

Connaissances

Options pricing

Volatility trading

Quantitative trading

Python

C++

Data-driven analysis

Communication

Outils

Python

C++

Description du poste

Goldman Sachs' Quantitative Volatility Trading team in Hong Kong is seeking a Quantitative Trader with 3+ years of experience to grow its options trading business. You will help monitor, optimize, and scale real-time pricing and risk decisions across a complex options portfolio in a fast, automated environment.

You will collaborate with researchers and engineers to develop models, test ideas, and deploy new tooling while improving pricing, execution, and risk management.