Quantitative Trader

Dime Line Trading; Chicago (IL); On-site; USD 70,000 - 110,000; Full time

Job summary

Dime Line Trading in Chicago is seeking a Junior Quantitative Trader to join our team. The role focuses on quantitative research, model development, and supporting trading strategy execution in a live sports-driven environment.

This is ideal for an early-career candidate who will work closely with traders and developers to gain hands-on exposure to live trading systems and production support, with evenings/weekends required during active sports schedules.

Qualifications

• 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.

Responsibilities

• Assist in building and maintaining predictive models and trading strategies
• 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

Skills

0-2 yrs exp

R

Python

SQL

Statistics basics

Analytical thinking

Problem solving

Operational support

Evenings/weekends

Job description

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
• 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)