Systematic Equity Trader

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

Benefits offered by this job

Fully paid Medical, Dental, Vision, DI

Life Insurance

On-site meals

Tuition Reimbursement

401(k) with employer match

Paid Vacation, Sick, Parental leaves

Commuter and FSA programs

Job summary

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

The role focuses on intraday alpha research, data-driven modeling, and rapid execution within a low-latency trading environment, leveraging Python and C++. A strong technical background and excellent communication are essential.

Qualifications

• Bachelor’s degree in a technical field.
• Experience in quantitative/systematic trading.
• Full stack trading strategy development including risk management.
• Proficiency in Python and/or C++.

Responsibilities

• Develop proprietary trading strategies with engineering and research teams.
• Engage in intraday alpha research, data gathering and model implementation.
• Apply statistical learning to build predictive trading models.
• Design and implement short-term trading strategies using Python and C++ on low-latency infrastructure.

Skills

Python

C++

Quantitative trading

Data analysis

Modeling

Communication

Education

Bachelor's degree in a technical field

Tools

Python

C++

Job description

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement.

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.

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.

Benefits And Perks

• 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

Base Salary Range

$150,000 - $225,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees.