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How much do quantitative intern jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for quantitative intern in the United States is $40.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $62.02 per hour, depending on experience, location, and employer.

What are Quantitative Interns?

Quantitative Interns are students or recent graduates who work in finance, technology, or research roles to apply mathematical, statistical, and programming skills to solve real-world problems. They often assist with data analysis, model development, and algorithm testing under the guidance of experienced quantitative analysts or researchers. These internships provide hands-on experience in quantitative fields such as investment banking, hedge funds, or tech companies, helping interns develop technical skills and industry knowledge. Through this role, interns gain exposure to complex financial instruments, coding languages like Python or R, and quantitative research methodologies.

What is the difference between Quantitative Intern vs Quantitative Analyst?

AspectQuantitative InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, mathematics, or related fieldBachelor's or master's degree in finance, mathematics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or summer program within financial firms or investment banksFull-time role within financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed by firms to train and evaluate potential future full-time analystsCore role responsible for developing models, analyzing data, and supporting trading decisions

In summary, a Quantitative Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for quantitative modeling and analysis within the finance industry.

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, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience with data analysis tools and financial modeling software are commonly required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills and qualities are crucial for accurately analyzing complex data sets, contributing to research, and delivering actionable insights in a fast-paced quantitative environment.

What types of projects can a Quantitative Intern expect to work on during their internship?

As a Quantitative Intern, you can expect to work on projects involving data analysis, model development, and backtesting trading strategies. You may collaborate with senior quants and traders to analyze large datasets, validate models, and communicate your findings to the team. These projects often require strong programming skills and a proactive approach to problem-solving. The fast-paced environment offers opportunities to gain hands-on experience and exposure to real-world financial challenges.
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Quantitative Intern jobs near you

Bernstein - Quantitative Research & Trading Intern - Fall 2026

Societe Generale

New York, NY

Other

Posted 25 days ago

Job description

We are looking for a highly self-motivated, fast-learning intern to join our quantitative research and trading team. This role is ideal for candidates who can operate independently, quickly understand complex systems, and contribute to production-level projects.

You will work closely with a small, high-impact team building and supporting a global trading system spanning market data, execution algorithms, and analytics.

Key Responsibilities

  • Develop and enhance quantitative models for trading and execution
  • Analyze large-scale market data to extract actionable signals
  • Support algorithmic trading strategies (alpha, execution, microstructure)
  • Build tools for data analysis, simulation, and visualization
  • Collaborate with engineers on system integration (Python / Java / C )
  • Debug and improve production trading systems

Basic Qualifications

  • Strong self-drive and ability to work independently
  • Background in Mathematics, Statistics, Computer Science, or Engineering
  • Programming experience in at least one of: Python, C , or Java
  • Understanding of data structures, algorithms, probability, and statistics
  • Ability to read and understand complex existing codebases
  • Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns.  
  • Be available for full-time or part-time work the fall of 2026.

Preferred Qualifications

  • Experience with quantitative trading, financial markets, or time series modeling
  • Familiarity with machine learning techniques
  • Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
  • Exposure to Linux, distributed systems, or cross-language systems (e.g., Java C )

 Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

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