Systematic Equity Trader

Responsibilities: Work closely with internal engineering and research teams to develop proprietary trading strategies, theoretical pricing models, and risk management techniques. Collaborate with the team on intraday/short-term alpha research, focusing on idea generation, data gathering, research/analysis, and model implementation for systematic trading strategies. Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. Design and implement short-term trading strategies using Python and C++ which use Old Mission's low-latency trading infrastructure to produce superior risk-adjusted returns.

Required Skills: Bachelor's degree or equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Finance, Economics, or a related technical or scientific field. Extensive experience in quantitative/systematic trading, ideally in cash equities (domestic and foreign markets) or equity derivatives (futures, ETFs, etc).Full stack trading strategy development skills and experience, including model/signal generation, strategy, execution, optimization, and risk management. Ability to write software in Python, C++, or both. Excellent written and oral communication skills. Self-starter with a strong desire to build a successful trading desk at Old Mission.