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Quantitative Sports Trading Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA

You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US. Duties * Monitor live sports ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US. Duties * Monitor live sports ...

Polymarket

Sports Markets Lead

Manhattan, NY · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in quantitative trading or market-making * (Plus) Existing relationships with sports data or ... trading firms * (Plus) Obsession with sports, markets, and competition Benefits * Competitive ...

Dime Line Trading

Live Sports Trader

Chicago, IL · On-site

Manage trading operations - confirm data feeds are available, ensure trading models launch ... Work with quantitative traders - share feedback on trading activity, analyze trading performance ...

Polymarket

Sports Markets Lead

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in quantitative trading or market-making * (Plus) Existing relationships with sports data or ... trading firms * (Plus) Obsession with sports, markets, and competition Benefits * Competitive ...

Dime Line Trading

Always Recruiting For

Chicago, IL

$17.50 - $21.75/hr

We are always open to hiring for the following roles: - Software Developers - specifically Python - Quant Developers - Live Sports Traders - DevOps Engineers Please submit your resume and it will be ...

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Quantitative Sports Trading information

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$98K

$169.7K

$259.5K

How much do quantitative sports trading jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative sports trading in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the main challenges quantitative sports traders face when developing and maintaining predictive models?

Quantitative sports traders often encounter challenges such as rapidly changing data, unpredictable events (like player injuries), and market inefficiencies that can impact model accuracy. Staying ahead requires constant model refinement, backtesting, and adapting strategies to new information. Additionally, traders must collaborate closely with data scientists and software engineers to ensure models are both robust and scalable in a high-pressure, time-sensitive environment.

What is quantitative sports trading?

Quantitative sports trading involves using mathematical models, statistical analysis, and data-driven strategies to predict outcomes and make informed bets or trades in sports markets. Professionals in this field analyze large datasets, create algorithms, and develop automated systems to identify value and manage risk. This approach is similar to quantitative trading in financial markets but is applied to sports betting exchanges and sportsbooks. The goal is to consistently find profitable opportunities while minimizing losses.

What are the key skills and qualifications needed to thrive as a quantitative sports trader, and why are they important?

To thrive as a Quantitative Sports Trader, you need strong mathematical, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages like Python or R, experience with data modeling tools, and familiarity with betting exchanges or proprietary trading platforms are typically required. Exceptional problem-solving abilities, attention to detail, and the capacity to make quick, data-driven decisions under pressure are crucial soft skills. These competencies enable traders to develop profitable strategies, manage risk effectively, and adapt to the fast-paced, dynamic environment of sports markets.
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Quantitative Sports Trading jobs near you
Infographic showing various Quantitative Sports Trading job openings in the United States as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Temporary. Highlights an 77% In-person, 6% Hybrid, and 17% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL • On-site

Internship

Posted 21 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

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.

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, prediction markets or similar
- 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