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Quant Internships Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ... Quantitative Risk * Systematic Investing * Portfolio Analytics * Financial Engineering

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ... Quantitative Risk * Systematic Investing * Portfolio Analytics * Financial Engineering

Motion Recruitment

Quantitative Developer

Chicago, IL · On-site

Internships or academic work do not count toward requirement. Required Skills & Experience * 3+ ... Advanced degree in a quantitative field What You Will Be Doing Daily Responsibilities * 70% Hands ...

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How much do quant internships jobs pay per year?

As of Jun 29, 2026, the average yearly pay for quant internships in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks are typically assigned to Quant Interns during their internship?

Quant Interns often work on projects such as data analysis, building or testing quantitative models, conducting backtesting on trading strategies, or supporting research on market trends. Daily tasks may include coding in languages like Python or R, analyzing large datasets, and preparing reports or presentations on findings. Interns typically collaborate closely with senior quantitative analysts, traders, or technologists, and may participate in team meetings or brainstorming sessions. This hands-on experience provides invaluable insight into the workflow of a quant team and helps interns develop practical skills applicable to full-time quantitative roles.

What is a Quant Internships job?

A Quant Internship is a temporary position where students or recent graduates work with quantitative finance teams at hedge funds, banks, or trading firms. Interns use mathematical models, programming, and statistical analysis to analyze financial markets, develop trading strategies, or enhance risk management techniques. These roles typically require strong skills in programming (Python, C++, or R), statistics, and financial mathematics. The internship provides hands-on experience in algorithmic trading, portfolio optimization, and data-driven decision-making. Successful interns often receive full-time job offers in quantitative finance.

What are the key skills and qualifications needed to thrive in the Quant Internships position, and why are they important?

To thrive in Quant Internships, a strong background in mathematics, statistics, programming (often Python, R, or C++), and familiarity with financial concepts is essential, typically supported by enrollment in a quantitative degree program such as math, physics, engineering, or finance. Interns should be adept with data analysis tools, statistical packages, coding platforms, and may benefit from exposure to Bloomberg terminals or similar financial data systems. Excellent problem-solving abilities, attention to detail, effective communication skills, and the ability to collaborate within teams are key soft skills in this field. Mastering these skills enables interns to contribute meaningfully to quantitative research, model development, and analytical projects within fast-paced financial environments.

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Quant Internships jobs near you
Infographic showing various Quant Internships job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Researcher - Summer Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 3 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply