Junior Quantitative Trader

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.

DV is looking for a Junior Quantitative Trader to join our trading desk, where you will support live trading operations through quantitative analysis, execution support, and risk monitoring. This is a hands-on seat for someone with strong Python and statistical fundamentals who wants to learn the mechanics of proprietary trading directly from experienced traders.

• Perform data analysis in Python to support trading decisions, strategy evaluation, and post-trade review

• Assist traders with order execution, trade reconciliation, and real-time monitoring of positions and risk

• Query and maintain internal databases (SQL) to build reports, surface anomalies, and support desk workflows

• Apply statistical and probability concepts to analyze market behavior, execution quality, and P&L attribution

• Develop working knowledge of market microstructure and exchange mechanics across the desk's asset classes

• Communicate findings and flag issues to traders and risk personnel clearly, concisely, and without delay

• Maintain rigorous accuracy and attention to detail in all desk processes, from data handling to trade capture

• 1–3 years in a quantitative, analytical, or market-facing role

• Direct trading desk experience (e.g., Execution Assistant, Assistant Trader, Quant Analyst, or Risk Analyst) preferred; exceptional candidates coming directly from top-tier undergraduate or master's programs with relevant internship experience will also be considered

• Fluency in Python for data analysis

• Strong foundation in statistics and probability

• Basic understanding of market microstructure and market mechanics

• Basic database querying skills (SQL)

• Rigorous attention to detail

• Intellectual candor and transparency

• Structured curiosity

• Concise communication

• Microstructure knowledge in a specific asset