Quantitative Trading Intern

About Us:

Founded two decades ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people across North America, Europe and Asia. Since becoming an independent proprietary trading firm in 2016, DV Trading has scaled rapidly using its own capital, strategies and risk management to provide liquidity to markets worldwide. DV Group affiliates today include two broker-dealers, a cryptocurrency market maker and a growing investment adviser.
DV Equities is the group's Asia-Pacific equities and futures market-making business, trading cash equities, ETFs, index futures and related products on exchanges across the region.

Overview:

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.

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:

• 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