We are seeking a Junior Quantitative Trader to join our Chicago office. This role focuses on quantitative research, model development, and supporting trading strategy execution in a live sports-driven environment.

This position is ideal for an early-career quantitative candidate who is excited to work directly with traders and developers while gaining hands-on exposure to live trading systems.

Responsibilities

Assist in building and maintaining predictive models and trading strategies
Conduct quantitative research using statistical techniques
Support development and maintenance of automated trading systems
Monitor model performance and assist with testing, validation, and deployment
Collaborate with traders and developers to improve systems and workflows
Support operational and production tasks tied to live trading
Work evenings and weekends during active sports schedules

Required Skills

0–2 years of experience in a quantitative or analytical role
Proficiency in R, Python, and/or SQL
Familiarity with regression and foundational statistical modeling techniques
Strong analytical and problem-solving skills
Willingness to contribute to operational and production support
Availability to work evenings and weekends aligned with sports schedules

Nice to Have

Experience in sports analytics
Strong knowledge of major sports
Interest in trading, betting markets, or quantitative finance
Experience working with market data (financial, crypto, or sports)