Dime Line Trading
Chicago, IL
Quantitative Trading Internship - 2027
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Apply to Quantitative Trading Internship - 2027 at Dime Line TradingJob details
- Location
- Chicago, IL
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- boards.greenhouse.io
About this role
Dime Line Trading is a sports trading firm that develops algorithms to trade all major US sports. The internship offers a 10-week opportunity to work alongside quants, data scientists, and traders while gaining hands-on experience in quantitative research and algorithmic trading.
What you'll do:
- You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles
- This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry
- There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science
- Interns will have the opportunity to work within multiple fields across multiple sports
- We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team
What they're looking for:
- Ability to work in a fast-paced environment and handle multiple demands at once
- Interest in building solutions, solving problems, and understanding how things work
- Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!
- Hands-on experience and a high level of proficiency in one or more of the following: Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science
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