Old Mission is seeking a Systematic Equity Options Trader to join our growing options trading desk in our Chicago HQ. This Equity Options trader will be responsible for developing, implementing, and managing systematic trading strategies across equity options markets. This Equity Options Trader will work closely with our quantitative research and technology teams to develop systematic approaches that capitalize on market inefficiencies while effectively managing risk.

Responsibilities:

Design and implement systematic trading strategies for equity options, including single-name options, index options, and volatility products
Build and maintain quantitative models for options pricing, volatility forecasting, and risk management
Monitor and optimize existing strategies, identifying opportunities for enhancement and improvement
Collaborate with quantitative researchers to translate research insights into production trading strategies
Manage portfolio risk through systematic hedging and position management
Analyze market microstructure and develop strategies to optimize execution quality
Work with technology teams to build robust, scalable trading infrastructure
Conduct post-trade analysis to evaluate strategy performance and identify areas for improvement

Required Qualifications:

Bachelor's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative field; advanced degree preferred
4+ years of experience in systematic options trading, quantitative trading, or quantitative research
Strong understanding of options pricing theory, Greeks, and volatility dynamics
Proficiency in Python or C++ is a prerequisite
Experience with statistical analysis, machine learning, and quantitative modeling techniques
Must have a strong understanding of the market microstructure and execution algorithms
Excellent analytical and problem-solving skills
Ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications:

Experience trading equity options or volatility products systematically
Knowledge of order book dynamics and high-frequency trading concepts
Familiarity with real-time data processing and low-latency systems
Track record of developing profitable quantitative trading strategies

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