
Quantitative Trading Intern - Summer 2027 (DV Equities) at DV Trading (New York, NY)
DV Trading· New York, NY·
Job description
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. 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.
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
- 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. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Why work at DV Trading
- Culture: Values include excellence, agility, ownership, curiosity, and unity. The firm emphasizes a flat, collaborative structure where individuals are empowered to take ownership and make decisions.
- Work environment: Fast-paced, high-stakes trading environment with a focus on continuous learning and innovation. Traders are given significant autonomy and access to world-class technology.
- Remote/Hybrid policy: Not explicitly stated, but presence in 8 global offices suggests a preference for in-office collaboration, typical of proprietary trading firms.
- Notable perks: Opportunity to trade with the firm's own capital (no personal risk), access to cutting-edge technology, and a meritocratic culture where performance is directly rewarded.
- Engineering culture: Developers work closely with traders and risk teams to build real-time systems. Tech stack includes C++, Python, Linux, and SQL. Roles range from back-office development to low-latency systems engineering.