Junior Quantitative Trader at DV Trading (Remote)
Role details
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:
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.
Job Responsibilities:
- 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
Requirements:
- 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
Preferred Skills
- Microstructure knowledge in a specific asset class
- Advanced C++ / low-latency architecture experience
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.