Options Trader

Who We Are

Founded in 2019, Rock Bund Capital is a proprietary trading firm deeply committed to shaping the future of the cryptocurrency industry. We have an average daily trading volume exceeding $1 billion and peak daily trading volume reaching $5 billion. We process over 7 million transactions daily, trading more than 1,000 symbols across multiple CEx and DEx. Our CEx activity is primarily focused on top-tier platforms, where we hold the highest VIP status. In DeFi, we provide liquidity to more than 20 most popular protocols across different chains.

Our team combines expertise in traditional finance, quantitative research, and advanced engineering with a deep understanding of blockchain technology. This unique blend enables us to excel in trading across complex crypto markets, including both CeFi and DeFi, while providing capital and strategic guidance to projects that drive innovation and foster sustainable growth in the crypto industry.

We are seeking a highly analytical Options Trader to join our volatility trading desk. In this role, you will design, backtest, and deploy systematic options trading strategies for the cryptocurrency market. You will bridge the gap between deep quantitative research and live execution, taking ownership of PnL outcomes in a fast-paced environment.

What You Will Do

• Strategy Development: Research, design, and implement quantitative trading strategies specifically for crypto options, including market making and systematic positional strategies


• Research Pipeline: Manage the end-to-end research lifecycle - from raw data gathering and feature engineering to model training and backtesting


• Algorithmic Optimization: Develop and refine trading algorithms to improve execution efficiency and capture market inefficiencies in volatility pricing


• Risk Management: Monitor live trading exposures and implement robust risk-control frameworks to manage Greeks (Delta, Gamma, Vega, Theta) in volatile markets


• Performance Analysis: Conduct post-trade analysis and PnL attribution to identify areas for strategy improvement

Who You Are

• Experience: 2 to 5 years of experience in quantitative trading or research, with a strong preference for derivatives or options experience


• Education: Bachelor’s or Master’s degree (PhD preferred for research-heavy roles) in a quantitative field such as Mathematics, Physics, Financial Engineering, or Computer Science

Technical Skills

• High proficiency in Python for data analysis and strategy development


• Proficiency in C++ is highly desirable for high-frequency trading (HFT) or low-latency infrastructure


• Experience with ClickHouse or other databases for handling large-scale tick data


• Market Knowledge: Deep understanding of options pricing models (e.g., Black-Scholes), volatility dynamics, and crypto market microstructure

Preferred Skills

• Demonstrated live trading track record with a strong Sharpe Ratio


• Experience in high-frequency trading (HFT) environments