Quantitative Trading Intern — Summer 2027

Trading Interview; Northern, New York (KY, NY); Hybrid; USD 25,000 - 42,000; Full time

Benefits offered by this job

Mentorship by senior traders

Exposure to proprietary methodologies

Hands-on trading experience

Job summary

DV Trading is seeking a Quantitative Trading Intern to join our Equities trading team. You will build and backtest models, analyze high-frequency market data, and collaborate with traders and researchers to refine systematic strategies in a fast-paced environment.

You'll be mentored by senior traders, monitor daily processes, and contribute to data-driven research and reporting, with exposure to our low-latency execution infrastructure.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in a quantitative field with expected graduation by Summer 2027.
• Strong interest in quantitative trading and financial markets.
• Strong Python skills; C++ experience highly preferred.
• Familiarity with statistics and time-series analysis.
• Prior exposure to markets or quantitative research is advantageous.
• Proficient with Excel and data analysis tools.
• Excellent communication and collaboration skills.

Responsibilities

• Build, backtest, and refine quantitative trading models using historical market data.
• Analyze large datasets to identify patterns, inefficiencies, and alpha signals.
• Monitor real-time positions and assist with risk management.
• Collaborate with researchers and software developers to implement prototypes.
• Prepare reports summarizing research findings and performance.
• Support daily trading processes and resolve discrepancies in P&L.
• Identify new market opportunities through data-driven research.

Skills

Python

C++

Excel

Statistics

Time-series analysis

Data analysis

Education

Bachelor/Master/PhD candidate

Tools

NumPy/Pandas

Git

SQL

Job description

DV Trading is seeking a Quantitative Trading Intern to join our Equities trading team. You will build and backtest models, analyze high-frequency market data, and collaborate with traders and researchers to refine systematic strategies in a fast-paced environment.

You'll be mentored by senior traders, monitor daily processes, and contribute to data-driven research and reporting, with exposure to our low-latency execution infrastructure.