Quantitative Research Intern: Intraday Equity Signals

Engineers Gate; New York (NY); On-site; USD 100,000 - 130,000; Part time

Job summary

Engineers Gate in New York invites a Quantitative Research Intern to join a small, fully systematic team focused on intraday US equities trading. You will work directly with portfolio managers and own a research project from data exploration to model development and evaluation.

The role requires independence, original hypotheses, and robust backtesting with attention to overfitting. Strong Python skills are essential, and you will communicate findings, limitations, and next steps clearly to the

Qualifications

• Pursuing a Master’s or Ph.D. in a quantitative field such as CS, Math, Engineering, Physics, Stats, Finance, Economics, or related.
• Finance internship or research experience desirable.
• Academic research involving quantitative methods (thesis, RA, or substantial project).
• Strong programming skills in Python.

Responsibilities

• Clean, validate, and analyze financial time series datasets, including high-frequency data.
• Develop hypotheses and build statistical or ML models for systematic trading.
• Design and run backtests evaluating performance, robustness, and relevance.
• Refine models based on experimental results and PM feedback.
• Communicate findings, assumptions, limitations, and next steps clearly.
• Contribute original modeling ideas and explore research directions with the team.

Skills

Independent research

Communication

Python programming

Education

Master’s or Ph.D. in quantitative field

Tools

Python

Job description

Engineers Gate in New York invites a Quantitative Research Intern to join a small, fully systematic team focused on intraday US equities trading. You will work directly with portfolio managers and own a research project from data exploration to model development and evaluation.

The role requires independence, original hypotheses, and robust backtesting with attention to overfitting. Strong Python skills are essential, and you will communicate findings, limitations, and next steps clearly to the