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 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 Global 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 $200,000 - $350,000 - 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.

Requirements

Must-haves

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
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 Global 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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision