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Quantitative Developer Internship - 2027

Dime Line TradingChicago, Illinois🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This internship offers an exceptional opportunity to dive into the cutting-edge world of quantitative development, contributing to innovative predictive models and gaining hands-on experience with advanced technologies. You'll thrive here if you possess a strong foundation in Python, a passion for statistical modeling, and an eagerness to learn within a dynamic team environment that values collaboration and growth. Apply now to kickstart your career in quantitative finance with this exciting, hybrid role!

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Entry Level

Job Description

Job Description Job Description 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.

Skills

SQL
Machine Learning
Data Pipeline
Python

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