Systematic Equity Options Trader

Old Mission•Chicago, IL

2d•Onsite

About The Position

Old Mission is seeking a Systematic Equity Options Trader to join its growing options trading desk at its Chicago headquarters. The role develops, implements, and manages systematic trading strategies across equity options markets. The trader works closely with quantitative research and technology teams to build systematic approaches that capitalize on market inefficiencies while managing risk.

Requirements

Bachelor's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field.
At least 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++.
Experience with statistical analysis, machine learning, and quantitative modeling techniques.
Strong understanding of market microstructure and execution algorithms.
Excellent analytical and problem-solving skills.
Ability to work effectively in a fast-paced, collaborative environment.

Nice To Haves

Advanced degree.
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.

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.