Global Banking & Markets, Quantitative Volatility Trading Researcher (Mid-Frequency), Vice President, Hong Kong

Quantitative Volatility Trading, Goldman Sachs’ electronic market-making team, is seeking a Lead Quant to help scale its systematic mid-frequency options trading business in Hong Kong.
This role is suited to an experienced researcher with a strong track record in systematic options trading, particularly in alpha generation and portfolio construction. You will lead the design of a research and backtesting platform that enables rapid strategy development, disciplined experimentation, and strong alignment between simulated and live performance. Working closely with traders, engineers, and SRE partners, you will drive new strategy development across products and markets while helping shape the next phase of growth for our mid-frequency options franchise.
Responsibilities
Lead the research agenda for systematic mid-frequency options trading, with a focus on alpha generation, signal combination, and portfolio construction
Design and build a robust research, simulation, and backtesting framework with strong alignment between backtest assumptions and production behavior
Develop tools and diagnostics to evaluate strategy performance, attribution, risk, and model stability
Research and implement novel alpha signals across horizons ranging from intraday to multi-day
Design portfolio construction and capital allocation approaches that balance expected return, risk, liquidity, and trading frictions
Partner closely with traders and market-making teams to identify scalable opportunities arising from the interaction between systematic trading and the options franchise
Work with engineering and SRE partners to productionize research outputs, improve system reliability, and strengthen monitoring and controls
Evaluate expansion opportunities across new underlyings, products, and regional markets, including Asia
Help define research standards, mentor junior team members, and contribute to a high-performance, collaborative culture
Skills and Experience
5+ years of experience in systematic options trading, with meaningful exposure to mid-frequency or short-horizon volatility strategies
Demonstrated success in alpha research, signal evaluation, and portfolio construction within a live trading environment
Strong understanding of options pricing, implied and realized volatility, Greeks, and risk management across multi-instrument portfolios
Deep experience across the full research lifecycle, including idea generation, data analysis, simulation design, validation, production deployment, and post-deployment monitoring
Strong programming skills in Python; experience building research libraries, analytics, and production-facing tools in a professional environment
Excellent statistical and quantitative problem-solving skills, with a rigorous approach to experimentation and inference
Experience working with large, high-dimensional market and trade data sets
Good judgment in balancing research ambition with implementation realism, controls, and operational robustness
Strong communication skills and the ability to work effectively with traders, researchers, engineers, and infrastructure partners
Track record of ownership in fast-paced, high-accountability environments
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