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Summer Quant Internships information

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$52.5K

$119.2K

$196.5K

How much do summer quant internships jobs pay per year?

As of Sep 2, 2026, the average yearly pay for summer quant internships in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Summer Quant Internships vs Quant Analyst?

AspectSummer Quant InternshipsQuant Analyst
Required CredentialsUndergraduate or Master’s students, strong math/stats backgroundTypically requires a Master’s or PhD in quantitative fields
Work EnvironmentTemporary, internship setting, often in finance or hedge fundsFull-time, professional role in finance or investment firms
Employer & Industry UsageUsed by financial firms for talent pipelineFull-time position for ongoing quantitative analysis

Summer Quant Internships are short-term, educational opportunities for students to gain exposure to quantitative finance, while Quant Analysts are full-time professionals responsible for ongoing data analysis and model development. Internships serve as a stepping stone into the industry, whereas analyst roles involve continuous responsibilities and career growth.

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Summer Quant Internships jobs near you
Infographic showing various Summer Quant Internships job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 31% Full Time, 59% Part Time, 1% Temporary, 6% Contract, and 1% Summer. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Summer 2027 Quantitative Research Internship

Point72

New York, NY • On-site

$240K - $300K/yr

Full-time, Temporary, Internship

Re-posted 11 days ago

Job description

Please send CVs to KEPL-talent@cubistsystematic.com with "2027 QR Summer Internship Application" in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
About Our Firm:
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
About Our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.
Role / Experience:
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
  • PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
  • Strong knowledge of computational math, probability, and statistics
  • Strong analytical skills, with attention to details
  • Good communication skills
  • Willing to work in a fast-paced start-up environment
  • Willing to learn and to take ownership
  • Strong programming skills in Python or C/C++
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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