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Fairfield, CT · On-site

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Research / consumer insights researchers, qualitative researchers, quantitative researchers * Engineering / mechanical engineers, design engineers We accept rolling applications for paid internships ...

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How much do quant internship jobs pay per month?

As of Jun 23, 2026, the average monthly pay for quant internship in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What are some typical projects or tasks a Quant Intern might work on during their internship?

As a Quant Intern, you can expect to work on a diverse set of projects that often include developing and backtesting trading algorithms, analyzing large financial datasets, and creating statistical models to identify market trends or inefficiencies. You may also assist in automating data collection processes and supporting the risk management team with quantitative research. Collaboration is common, as you'll likely work closely with full-time quantitative analysts, software engineers, and traders to solve real-world financial problems. These experiences provide valuable exposure to industry tools and workflows, offering a solid foundation for a career in quantitative finance.

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

To thrive as a Quant Intern, you need a strong background in mathematics, statistics, and programming, typically supported by coursework or degrees in quantitative fields such as mathematics, physics, or computer science. Familiarity with programming languages like Python, R, or C++, and experience with data analysis tools and financial modeling software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns solve complex problems and present their findings clearly. These skills and qualities are crucial for contributing to data-driven decision-making and supporting trading or research teams in a fast-paced financial environment.

What is a Quant Internship?

A Quant Internship is a short-term position, usually lasting 10-12 weeks, where students or early-career professionals work with quantitative teams at financial institutions like investment banks or hedge funds. Interns typically assist with data analysis, mathematical modeling, and algorithm development to support trading or risk management strategies. This experience provides practical exposure to quantitative finance and programming, helping interns build skills needed for a full-time quantitative analyst role.

What is the difference between Quant Internship vs Quant Analyst?

AspectQuant InternshipQuant Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldBachelor's or master's degree in finance, mathematics, or related field; sometimes certifications like CFA
Work EnvironmentInternship programs in financial firms, often temporary and training-focusedFull-time role in investment banks, hedge funds, or asset management firms
Employer & Industry UsageUsed by firms to evaluate potential future employees; common in finance industryProfessional role responsible for developing models, analyzing data, and supporting trading decisions

In summary, a Quant Internship is a temporary, training-focused position for students or recent graduates, while a Quant Analyst is a full-time professional role with ongoing responsibilities in quantitative finance. Internships often serve as a stepping stone to a full analyst position in the industry.

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Quant Internship jobs near you

Graduate Quantitative Developer

DeepFin Research

Manhattan, NY • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
DeepFin Research is a systematic proprietary trading firm focused on integrating deep learning with quantitative research methods and advanced trading technology. They are seeking a Junior Quant Developer to help productionise research into high-performance trading systems, collaborating closely with Quant Researchers and senior engineers to convert Python code into production C++ and improve backtesting infrastructure.
Responsibilities:
• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.
Qualifications:
Required:
• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.
Company:
DeepFin Research deploys ML driven systematic models across the Global financial markets. Founded in 2022, the company is headquartered in Valletta, MLT, with a team of 11-50 employees. The company is currently Early Stage.

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