Old Mission
Senior Systematic Equities Trader
Old Mission, New York, New York, us, 10261
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.
Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm's growth.
About the Position
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
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
Benefits and Perks
Competitive salary with discretionary annual bonus
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
Flexible Spending Plan
Commuter Benefit Program
In accordance with New York City's Pay Transparency Law, the anticipated base salary range for this role is $175,000 to $250,000. Base salary does not include other forms of compensation or benefits offered to employees.
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Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm's growth.
About the Position
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
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
Benefits and Perks
Competitive salary with discretionary annual bonus
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
Flexible Spending Plan
Commuter Benefit Program
In accordance with New York City's Pay Transparency Law, the anticipated base salary range for this role is $175,000 to $250,000. Base salary does not include other forms of compensation or benefits offered to employees.
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