Quantitative Volatility Trading Researcher – Electronic Options Market Making
A research role in the electronic options market-making team, designing and calibrating automated pricing, quoting and risk models for listed options in Hong Kong. You work on tick-level data and hand prototypes to engineers.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Calibrate real-time options pricing models and volatility surfaces
- Mine tick and order book data for predictive signals
- Design and backtest automated quoting and execution algorithms
- Build simulations to measure inventory risk and slippage
- Pass research prototypes to developers for production
What they ask for
Required
- Options pricing theory and volatility dynamics
- Greeks risk management
- Order book microstructure
- Python for statistics and backtesting
- Modern C++
- Tick-level data research
Preferred
- Master's or PhD in maths, statistics, physics or computer science
- Education
- Master's or PhD preferred, or Bachelor's with demonstrable experience, in maths, statistics, physics or computer science
- Experience
- 5+ years in quantitative research on options market-making, electronic trading or systematic derivatives
- Languages and tools
- Markets
- options
How to prepare
- Fit and compare volatility surface models such as SVI on option chain data
- Study limit order book dynamics and build a microstructure signal from tick data
- Backtest a simple options quoting strategy including inventory and hedging costs
- Learn enough C++ to port a pricing kernel from Python
What to study
- Derivatives Pricing and Computational Finance
- Market Microstructure and Execution
- Advanced Derivatives and Exotic Options
- Python for Quantitative Finance
- Modern C++ for Quantitative Finance
The Volatility Quant roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on Goldman Sachs’s site before applying: requirements, location and pay can change after we check them.
View the posting on Goldman Sachs’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Goldman Sachs and doesn’t handle applications.