Quantitative Researcher (Systematic Equities)

Trading Interview; New York (NY); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Competitive salary with discretionary

Fully paid private medical, dental,...

Free on-site lunch daily

Tuition Reimbursement Program

Job summary

Old Mission Capital in New York City is seeking a Quantitative Researcher to design, research, and deploy systematic trading strategies across global equity markets. You will own the research process from alpha generation to signal research, focusing on portfolio optimization, risk management, and performance evaluation.

The role requires 4+ years of quantitative research or trading experience, strong Python skills, and a track record of rigorous, ethically sound work within a fast-paced

Qualifications

• Degree in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, Operations Research, or related field.
• 4+ years of experience in quantitative research or systematic trading in Global Equities.
• Proficiency in Python is required.

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 performance, and iterate to improve risk-adjusted returns.
• Continuously evaluate new data sources, market microstructure effects, and regime changes.

Skills

Python

Statistical analysis

Data handling

Portfolio risk understanding

Education

Quantitative degree (Math/Physics/Statistics/CS)

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.

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 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 Capital is a quantitative market-making firm founded in 2008. It prices "thousands of financial instruments globally" and has "traded trillions of dollars of securities using proprietary systems and…