Senior Quant Researcher — Global Equities Signals

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 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