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# Quantitative Developer

- **Company:** Dime Line Trading, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Internship
- **Contract:** Internship / Graduate position
- **Skills:** Algorithmic Trading, Linux, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, SQL Databases, Real Time Systems, Information Technology, Data Pipelines
- **Published:** August 14, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2922242421-2

## About the Role

* Proficiency in Python (experience in R or other languages a plus).
 * Strong interest in statistical modeling, machine learning, or predictive analytics.
 * Familiarity with Linux and SQL databases.
 * Ability to work in a fast-paced environment and manage multiple tasks.
 * Interest in sports and sports analytics / sabermetrics.
 * Strong problem-solving and communication skills.
 * Predictable and reliable availability

It's great to see:

 * Coursework in statistics, optimization, computer science, or related fields.
 * Prior internship or project experience in trading, quantitative research, or software engineering.
 * Exposure to object-oriented development, real-time systems, or algorithmic trading models.
 * Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.

## Description

* Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
 * Prototype and backtest models, monitor performance, and assist with optimizations.
 * Contribute to key feature development for model efficiency
 * Develop and maintain Python codebases in a Linux environment.
 * Help to design and implement new pricing models and frameworks
 * Support data pipeline and SQL database interactions for real-time models.
 * Assist in improving trading systems and operational tools.
 * Gain exposure to multiple sports, quantitative disciplines, and production engineering.
 * Other duties as assigned.


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