We are seeking a Senior Systematic Equities Trader to join our growing firm. This Senior Systematic Equities Trader will report directly to a managing partner in our NYC office. This trader will join a close-knit team of technologists and quantitative researchers to deploy systematic equity trading strategies in global equity and futures markets using Old Mission’s low- latency trading infrastructure.

Successful candidates will have a strong research background, technical skills, and a successful track record building systematic quantitative strategies in equities or equity derivatives such as futures and exchange- traded funds (ETFs). This candidate must be able to demonstrate exemplary decision-making skills in addition to superior risk management, theoretical pricing, and market structure knowledge.

**Responsibilities of this role: **

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.

**Requirements: **

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.