Proprietary Trading Internship information
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$11.06 - $12.26
14% of jobs
$12.72 is the 25th percentile. Wages below this are outliers.
$12.26 - $13.46
12% of jobs
$13.46 - $14.66
15% of jobs
The median wage is $14.84 / hr.
$14.66 - $15.87
18% of jobs
$17.03 is the 75th percentile. Wages above this are outliers.
$15.87 - $17.07
10% of jobs
$17.07 - $18.27
6% of jobs
$18.27 - $19.47
8% of jobs
$19.47 - $20.67
5% of jobs
$20.67 - $21.87
5% of jobs
How much do proprietary trading internship jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for proprietary trading internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.
A Proprietary Trading Internship is a temporary position, usually for students or recent graduates, where interns work with a firm's traders to learn about trading financial instruments using the firm's own capital. Interns gain hands-on experience in market analysis, risk management, and trade execution. The goal is to expose interns to real-world trading strategies and the fast-paced environment of financial markets, often with the opportunity to secure a full-time position upon successful completion of the program.
As a Proprietary Trading Intern, you will typically be involved in supporting the trading team through a mix of quantitative research, strategy development, and data analysis. Interns often analyze market data, backtest trading strategies, and help implement algorithmic trading systems. You may also assist with monitoring real-time trading activities and contribute to risk management tasks. This hands-on exposure allows you to understand the fast-paced environment of prop trading and develop valuable skills for a career in financial markets.
To thrive as a Proprietary Trading Intern, you need strong quantitative and analytical abilities, proficiency in statistics, and a background in finance, mathematics, or related fields. Familiarity with programming languages like Python or C++, experience with trading platforms, and knowledge of financial modeling tools are typically required. Exceptional problem-solving skills, attention to detail, and the ability to perform under pressure set candidates apart. These competencies are crucial for analyzing market data, developing trading strategies, and making swift, informed decisions in a competitive trading environment.
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