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Quantitative Trader at Dime Line Trading

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Trading Strategy Design, Predictive Models, Automation, R, Python, SQL, Regression, Statistical Modeling, Quantitative Methods, Large Datasets, Production Systems, Independent Research, Sports Analytics, Real-Time Data

Industry

Financial Services

Description

We are seeking a Quantitative Trader to join our Chicago office. This role focuses on leading quantitative research initiatives, developing predictive models, and directly contributing to trading strategy design and execution. This individual will play a meaningful role in driving trading performance through research, automation, and systematic improvement. Responsibilities Design, build, and maintain predictive models and trading strategies Conduct independent quantitative research to generate actionable trading insights Develop and enhance automated trading systems Evaluate model performance and drive iterative improvements Collaborate with traders and developers to improve execution quality, automation, and system reliability Take ownership of operational and production workflows supporting live trading Work evenings and weekends during active sports schedules Required Skills 2–5+ years of experience in quantitative research, trading, or related analytical roles Strong proficiency in R, Python, and/or SQL Solid foundation in regression, statistical modeling, and applied quantitative methods Experience working with large datasets and production systems Ability to independently scope and execute research initiatives Availability to work evenings and weekends aligned with sports schedules Nice to Have Experience in sports analytics or trading Deep knowledge of major sports and betting markets Experience working with real-time or market data (financial, crypto, or sports)

Responsibilities

This role involves leading quantitative research, developing predictive models, and designing and executing trading strategies to drive performance through research and automation. Responsibilities include building and maintaining models, conducting independent research for actionable insights, and enhancing automated trading systems.