Quant Research Intern: Equities Signals & Backtesting

Trading Interview; Northern, New York (KY, NY); Hybrid; USD 21,000 - 32,000; Full time

Job summary

DV Trading is seeking a 2027 Quantitative Research Intern to join the equities team. You will generate systematic signals across multiple horizons and work with senior researchers and traders to explore data, build models, and inform trading decisions.

You will gain direct exposure to how quantitative research informs trading in a leading proprietary trading environment, collaborating in a fast-paced, results-driven setting.

Qualifications

• Pursuing Bachelor's, Master's, or PhD in a quantitative field (Math, Stats, CS, Eng, Physics, Fin Eng).
• Expected graduation in 2027 or 2028.
• Strong Python proficiency and data science libraries (pandas, NumPy).
• Genuine curiosity about financial markets and market microstructure.
• Experience in high-frequency research or longer-term signal generation is a plus.
• Able to communicate technical results clearly to diverse audiences.
• Self-motivated and collaborative in a fast-paced team.

Responsibilities

• Analyze market data to uncover patterns, inefficiencies, and signals across time horizons.
• Build and backtest quantitative models using historical market data in a simulation environment.
• Apply statistical and machine learning techniques—with emphasis on tree-based methods—to enhance signal quality.
• Collaborate with traders and researchers to translate research insights into robust trading strategies.
• Contribute to development and maintenance of data pipelines for large-scale, high-frequency, time-series data.
• Iterate on research prototypes based on backtest results and team feedback.

Skills

Python

Statistics

Machine Learning

Data Analysis

Education

Bachelor's/Master's/PhD in quantitative field

Tools

pandas

NumPy

Backtesting

Job description

DV Trading is seeking a 2027 Quantitative Research Intern to join the equities team. You will generate systematic signals across multiple horizons and work with senior researchers and traders to explore data, build models, and inform trading decisions.

You will gain direct exposure to how quantitative research informs trading in a leading proprietary trading environment, collaborating in a fast-paced, results-driven setting.