Junior Quant Trader — Python-Powered Market Analytics

DV Trading; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

DV Trading, a Chicago-based proprietary trading firm, is seeking a Junior Quantitative Trader to join our trading desk. You will support live trading operations through Python-based analysis, execution support, and risk monitoring.

Ideal candidates have 1–3 years in a quantitative role, strong Python and statistics fundamentals, and a willingness to learn the mechanics of proprietary trading from experienced traders.

Qualifications

• 1–3 years in a quantitative, analytical, or market-facing role.
• Direct trading desk experience preferred; top-tier internships considered.
• Fluency in Python for data analysis.
• Strong foundation in statistics and probability.
• Basic SQL and database querying skills.
• Attention to detail and clear communication.
• Interest in market microstructure.
• C++ low-latency experience is a plus.

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 knowledge of market microstructure across asset classes.
• Communicate findings clearly to traders and risk personnel.
• Maintain accuracy in data handling and trade capture.

Skills

Python

Statistics

SQL

Attention to detail

Communication

Curiosity

Candor

C++ low-latency

Market microstructure

Tools

SQL

C++ (low-latency)

Job description

DV Trading, a Chicago-based proprietary trading firm, is seeking a Junior Quantitative Trader to join our trading desk. You will support live trading operations through Python-based analysis, execution support, and risk monitoring.

Ideal candidates have 1–3 years in a quantitative role, strong Python and statistics fundamentals, and a willingness to learn the mechanics of proprietary trading from experienced traders.