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
Old Mission is looking to hire a Quantitative Researcher for our growing Global Equities team in our New York City Office. We are seeking a Quantitative Researcher to design, research, and deploy systematic trading strategies across global equity markets. The role involves end-to-end ownership of the research process, from alpha generation to signal research, with a focus on portfolio optimization, risk management, and performance evaluation.
Responsibilities
- Research, develop, and implement quantitative trading strategies across global equity markets
- Identify and test alpha signals using large, structured, and unstructured datasets
- Perform statistical analysis, feature engineering, and model validation to assess signal robustness
- Design portfolio construction and optimization frameworks, including risk constraints and transaction cost modeling
- Conduct backtesting, out-of-sample testing and performance attribution
- Collaborate with quantitative researchers, traders, and engineers to productionize models
- Monitor live strategies, analyze the performance, and iterate to improve risk-adjusted returns
- Continuously evaluate new data sources, market microstructure effects, and regime changes
- Maintain live trading infrastructure and risk controls
Required Skills
- Degree in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, Operations Research, or a related quantitative field
- 4+ years of experience in quantitative research or systematic trading in equities
- Proficiency in Python is required
- Deep understanding of portfolio level risks; exposure to style/factor risk
- Experience working with large financial datasets and building research pipelines
- Highly organized and detail-oriented, with the ability to manage multiple work streams concurrently
- Exceptional written and verbal communication skills, with the ability to manage multiple tasks in a time-sensitive, collaborative, and fast-paced environment
- Proven track record of trustworthiness and performance, consistently adhering to the highest ethical standards
Benefits and Perks
- Competitive salary with discretionary annual bonus
- Fully paid private medical, dental, vision with extended coverage, and life insurance
- Free on-site lunch daily
- Tuition Reimbursement Program
Base Salary Range
$170,000 - $250,000 - 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. For more information, reach out to your recruiter.
Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.
Top Skills
What We Do
Old Mission is a global, multi-asset market maker. We specialize in dynamically valuing individual securities and complicated derivatives at the speed of modern markets. We price thousands of financial instruments globally and have traded trillions of dollars of securities using our proprietary systems and models, both on and off exchange. Our market making platform enables us to work with the world’s largest exchanges, brokers, and institutional investors as a trusted partner, assisting them in transferring risk, often at prices that are much tighter than our competition
