Systematic Equity Trader

Old MissionNew York, NY
3d$150,000 - $225,000Onsite

About The Position

Old Mission Capital, a global quantitative proprietary trading firm, is hiring a Systematic Equity Trader to work in our New York City office. The Systematic Equity Trader will be responsible for developing and implementing systematic equity strategies.

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.

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.

Benefits

  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs
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