Systematic Equity Trader: Build Next-Gen Strategies

Trading Interview; New York (NY); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Disability, &

Life Insurance

On-site meals (free breakfast & lunch)

Tuition Reimbursement Program

401(k) with employer match

Paid Vacation, Sick, and ParentalLeave

Commuter benefits

Job summary

Old Mission Capital is hiring a Systematic Equity Trader in New York City to develop and implement systematic equity strategies. You will work with engineering and research to build strategies, pricing models, and risk controls.

The role emphasizes intraday alpha research, data analysis, and rapid model implementation using Python and C++ on Old Mission’s low-latency trading infrastructure.

Qualifications

• Bachelor’s degree or equivalent in a technical or scientific field.
• Extensive experience in quantitative/systematic trading, preferably equities or derivatives.
• Full stack trading strategy development: generation, execution, risk management.
• Proficiency in Python and/or C++.
• Excellent written and verbal communication skills.
• Self-starter aiming to build a trading desk at Old Mission.

Responsibilities

• Collaborate with engineering and research teams to develop trading strategies, pricing models, and risk techniques.
• Work on intraday/short-term alpha research: data gathering, analysis, and model implementation.
• Use statistical learning on datasets to build predictive models.
• Design and implement short-term trading strategies using Python and C++ on low-latency infra.

Skills

Quantitative trading

Full stack trading

Python

C++

Communication

Education

Bachelor’s degree or equivalent in CS/Engineering/Math/Stats/Finance/Economics

Tools

Python

C++

Job description

Old Mission Capital is hiring a Systematic Equity Trader in New York City to develop and implement systematic equity strategies. You will work with engineering and research to build strategies, pricing models, and risk controls.

The role emphasizes intraday alpha research, data analysis, and rapid model implementation using Python and C++ on Old Mission’s low-latency trading infrastructure.