Junior Quant Trader – Data-Driven Python Desk

DV Trading LLC; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

DV Trading LLC is seeking a Junior Quantitative Trader to support live trading operations through quantitative analysis, execution support, and risk monitoring. This hands-on role emphasizes Python skills and statistical fundamentals learned from working with experienced traders.

You will analyze data, assist with order execution, and maintain database-driven reports to surface anomalies and inform decisions. A strong academic background and curiosity around market microstructure are valued.

Qualifications

• 1–3 years in a quantitative, analytical, or market-facing role.
• Direct trading desk experience preferred; strong internship exposure also considered.
• Fluency in Python for data analysis.

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

Skills

Python

SQL

Statistics

Data analysis

Attention to detail

Communication

Tools

C++

Job description

DV Trading LLC is seeking a Junior Quantitative Trader to support live trading operations through quantitative analysis, execution support, and risk monitoring. This hands-on role emphasizes Python skills and statistical fundamentals learned from working with experienced traders.

You will analyze data, assist with order execution, and maintain database-driven reports to surface anomalies and inform decisions. A strong academic background and curiosity around market microstructure are valued.