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Quantitative Internship Jobs (NOW HIRING)

Opportunities, including full-time summer internships and part-time work throughout the school year ... Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g ...

Quantitative Analyst

New York, NY · On-site

$145K - $185K/yr

Job Summary Quantitative Analyst Initio Capital Full-time, Part-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Quantitative Analyst - Initio Capital Location: New ...

Quantitative Risk Analyst

New York, NY · On-site

$145K - $185K/yr

Job Summary Quantitative Risk Analyst Initio Capital Part-time, Full-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Quantitative Risk Analyst - Initio Capital ...

Job Summary Quantitative Investment Analyst Initio Capital Full-time, Part-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Quantitative Investment Analyst - Initio ...

Please note that programming experience is a must if you are applying to our Quant Developer internship. This is a paid internship and we provide accommodation in fully serviced apartments. PLEASE ...

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How much do quantitative internship jobs pay per hour?

As of May 29, 2026, the average hourly pay for quantitative internship in the United States is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Intern, and why are they important?

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, physics, computer science, or finance. Familiarity with programming languages like Python, R, or MATLAB, and experience using data analysis tools and statistical software are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help set candidates apart. These competencies are crucial for accurately analyzing data, developing models, and effectively communicating insights in fast-paced, data-driven environments.

What kinds of projects do quantitative interns typically work on during their internship?

Quantitative interns often work on real-world data analysis, model development, and research projects that directly support the team’s trading, risk, or research objectives. These projects may involve developing statistical models, backtesting trading strategies, or automating data pipelines under the guidance of senior quants. Interns are usually paired with mentors and collaborate closely with both fellow interns and full-time analysts, providing opportunities to learn from experienced professionals and contribute meaningfully to the team's goals.

What is a Quantitative Internship?

A Quantitative Internship is a temporary position, often for students or recent graduates, where individuals apply mathematical, statistical, and computational techniques to solve real-world business problems. These internships are common in industries like finance, technology, and consulting, and typically involve tasks such as data analysis, building predictive models, and supporting trading strategies. Quantitative interns gain hands-on experience working with large datasets, programming, and collaborating with teams to drive data-informed decisions. This role is an excellent way to develop practical skills and explore careers in quantitative fields.

What is the difference between Quantitative Internship vs Quantitative Analyst?

AspectQuantitative InternshipQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsBachelor's or master's degree in finance, mathematics, or related fields; often requires some experience
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time role in financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed as a training position for aspiring analysts in financeProfessional role responsible for developing models and strategies in finance

In summary, a Quantitative Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Analyst is a full-time professional role with greater responsibilities in financial modeling and analysis.

More about Quantitative Internship jobs
What cities are hiring for Quantitative Internship jobs? Cities with the most Quantitative Internship job openings:
What are the most commonly searched types of Quantitative jobs? The most popular types of Quantitative jobs are:
What states have the most Quantitative Internship jobs? States with the most job openings for Quantitative Internship jobs include:
Infographic showing various Quantitative Internship job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 11% Part Time, 3% Temporary, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $84,982 per year, or $40.9 per hour.
Quantitative Research Internship - PhD: Summer 2027

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Posted 8 days ago


Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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