Rock Bund Capital
FinServ
SeniorQuantStrategist(Options)
Neural analysis suggests this role is
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“Senior Quant Strategist (Options) at Rock Bund Capital. Skills: Options trading, Quantitative research, Python, Risk management. Research, design, and implement quantitative trading strategies. Manage research lifecycle”
Industry & Context.
What They're Looking For.
Must Have
5 years of experience in quantitative trading or research, Bachelor’s or Master’s degree in Mathematics, Physics, Financial Engineering, or Computer Science, High proficiency in Python for data analysis and strategy development
Nice to Have
PhD in a quantitative field, Proficiency in C++, Experience with ClickHouse or other databases, Demonstrated live trading track record with a Sharpe Ratio, Experience in high-frequency trading (HFT) environments
What You'll Do.
and implement quantitative trading strategies
Manage research lifecycle
Develop and refine trading algorithms
Monitor live trading exposures
Implement risk-control frameworks
Conduct post-trade analysis
Full Job Description
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 reaching $1 billion and peak daily trading volume of $9 billion USD. We process over 15 million transactions daily, trading more than 1,000 symbols across major CEx and DEx. 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. Role Overview 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. 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: 5 years of experience in quantitative trading or research, with a strong preference for derivatives or options experience Education: Bachelor’s or Master
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