Quantitative Trading Intern - Summer 2027 (DV Equities)

About Us

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe, and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. DV Group affiliates include two broker dealers, a cryptocurrency market making firm, and a growing investment adviser.

Overview

As a Quantitative Trading Intern, you will work with the DV Equities trading teams and gain exposure to 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.

Responsibilities

• Build, backtest, and refine quantitative trading models using historical market and order book 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

• 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
• 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