About the Company
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. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
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.
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
Qualifications & 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 DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV.
About DV Trading
DV Trading, founded in 2006 in Chicago as DV Group, is a proprietary trading firm active in commodities, equities and crypto via DV Chain, its institutional crypto desk providing liquidity and OTC services. With 400+ employees across Chicago, New York and London, DV combines market making, systematic strategies and venture via DV Crypto. Candidates need strong quantitative reasoning, risk discipline and interest in 24/7 crypto markets. DV Chain and DV Trading deploy proprietary quantitative algorithms and automated market making infrastructure to supply 24/7 liquidity across digital asset markets. DV Trading brings quantitative risk management and deep liquidity provisioning across spot markets, futures exchanges, and decentralized finance protocols.