Quantitative Researcher (Systematic Equities)

Old Mission • New York, NY

7d • $170,000 - $250,000 • Onsite

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.

Requirements

• 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

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

Benefits

• Competitive salary with discretionary annual bonus
• Fully paid private medical, dental, vision with extended coverage, and life insurance
• Robust Pension Scheme, income protection, and salary exchange
• Free on-site lunch daily
• Season Ticket Loan Scheme
• Tuition Reimbursement Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees