Quantitative Trader Intern - Summer 2026 at Dime Line Trading

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Predictive Modeling, Python Development, Linux Platform, Algorithmic Trading Models, Quantitative Sports Gambling, Daily Fantasy Sports, Sports Analytics, Problem Solving, Interest in Sports, Building Solutions, Fast-Paced Environment, Object-Oriented Development, Production Engineering, Quantitative Research

Industry

Financial Services

Description

DL Trading develops algorithms to trade all major US sports. DL Trading was founded in 2020 by veterans of the financial trading and sports betting industries. They started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms. The internship at DL Trading is a 10-week opportunity with our team of quants and traders that build quantitative algorithmic predictive models for algorithmic sports betting. 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 DL Trading from quantitative research, object-oriented development, production engineering, and more. Interns will have the opportunity to work within multiple fields across multiple sports. With a start-up nature, it is all hands-on deck for many of the different projects across the firm, and we are looking for interns looking to get a very well-rounded experience out of their internship! SKILLS YOU’LL NEED: 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 or sportsbetting - Quantitative sports gambling or daily fantasy sports It’s great to see: - Past internship or job experience in a trading, quantitative or engineering role - Advanced coursework in statistics, optimization, operations research, and computer science

Responsibilities

Interns will work with a team of quants and traders to build quantitative algorithmic predictive models for sports betting. This role offers hands-on experience across multiple fields and sports within a collaborative environment.