INTERNSHIP DETAILS

Quantitative Developer Internship - 2027

CompanyDime Line Trading
LocationChicago
Work ModeOn Site
PostedJuly 23, 2026
Internship Information
Core Responsibilities
Contribute to the design and implementation of predictive statistical and machine learning models for prediction markets and exchange venues. Develop Python codebases in Linux and support data pipelines and SQL databases for real-time trading systems.
Internship Type
full time
Company Size
42
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
DL Trading develops algorithms to trade all major US sports. DL Trading was founded in 2020 by two veterans of the algorithmic trading industry. Both started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.
About the Role
 
This is a 10 week internship available all seasons of the year. 
 
What you’ll do:
  • 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.


Skills you’ll need:
  • 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.
Key Skills
PythonStatistical ModelingMachine LearningPredictive AnalyticsLinuxSQLSports AnalyticsProblem SolvingCommunicationRObject-Oriented DevelopmentAlgorithmic Trading
Categories
Data & AnalyticsSoftwareFinance & AccountingScience & ResearchSports & Recreation