2027 Quantitative Trader Graduate (DV Equities)

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.

About the role

As a Quantitative Trader Graduate, you will join our DV Equities desk and participate in the execution and risk management of systematic trading strategies across global equity markets, learning our proprietary methodologies and systems through hands-on experience. You will work closely with senior traders and quantitative researchers to develop, refine, and monitor data-driven trading models. This role is designed for graduates with a strong quantitative foundation, a genuine curiosity about markets, and a willingness to grow in a fast-paced environment.

Responsibilities

• Work closely with senior traders to learn proprietary methodologies and quantitative trading systems
• Participate in the execution and risk management of systematic trading strategies, including trade execution and risk layoffs
• Build, maintain, and improve quantitative trading models using historical market and orderbook data
• Analyze large datasets to identify patterns, inefficiencies, and new alpha opportunities for systematic strategies
• Enhance existing strategies and identify new opportunities through data-driven research
• Liaise between the trading desk, internal teams, and OTC relationships
• Monitor live trading performance and iterate on models based on real-time market feedback
• Additional responsibilities may be driven by the individual's interests and skills

Requirements

• Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Physics, Engineering, or related), with an expected graduation by Summer 2027
• Strong proficiency in Python; experience with SQL, statistical modeling, or C++ is highly preferred
• Strong foundation in math, probability, and statistics
• Genuine interest in financial markets, algorithmic trading, and market microstructure
• Demonstrated ability to learn quickly and perform in a fast-paced, high-pressure environment
• Ability to maintain composure and communicate clearly under pressure
• Exceptional problem-solving ability and multitasking skills
• Prior internship experience in trading, quantitative research, or data analysis is a plus

Pay

Base Salary Range $80,000—$100,000 USD