Quantitative Trading Intern
DV Trading LLC
Posted 15 Nov 2026, 09:40 ET · Verified open on LinkedIn 15 Nov, 10:30 ET
This job at a glance
- Who can apply
- 20–22 years of experience · Bachelor's degree
- Must know
- StatisticsPythonExcelData analysis
- Nice to have
- C++
- Work
- On-site in New York · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python67%Statistics36%Excel30%Data analysis24%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 15, 2026 · still open
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About the Role
As a Quantitative Trading Intern, you will work with our DV Equities trading teams and gain exposure to our proprietary methodologies and trading systems. You will build and backtest quantitative trading models, analyze high-frequency market data to identify predictive signals, and collaborate with traders and researchers to refine systematic strategies. You will also monitor daily trading processes, analyze and resolve discrepancies in trade positions and P&L attribution, and identify new market opportunities through data-driven research. Trading interns work in a relatively flat organizational structure and are mentored by senior traders and quantitative researchers.
Key Responsibilities
- Build, backtest, and refine quantitative trading models using historical market and orderbook data
- Analyze large datasets to identify patterns, inefficiencies, and alpha signals for systematic strategy development
- Monitor real-time trading positions and market conditions, assisting traders with risk management and parameter adjustments
- Collaborate with quantitative researchers and software developers to implement strategy prototypes into the firm's low-latency execution infrastructure
- Oversee and improve daily trading processes as needed
- Analyze and resolve discrepancies in trade positions and P&L attribution
- Identify new market opportunities through data-driven research
- Prepare clear reports and presentations summarizing research findings, trading performance, and recommendations
Requirements & Tech Stack
- Pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, or related), with an expected graduation by Summer 2027 or Summer 2028
- Strong interest in quantitative trading, systematic strategy development, and financial markets
- Strong proficiency in Python; experience with C++ is highly preferred
- Familiarity with probability, statistics, and time-series analysis
- Prior exposure to financial markets, trading, or quantitative research (through internships, academic projects, or competitions) is highly preferred
- Proficiency with Excel and data analysis tools
- Strong work ethic and ability to learn quickly in a fast-paced, high-pressure environment
- Excellent communication and collaboration skills
Compensation: $50.00 per hour