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Quantitative Developer Intern Jobs (NOW HIRING)

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Quantitative Developer Intern

Austin, TX · On-site

$19 - $25/hr

About the Role We're looking for a highly motivated, intellectually curious, mission-driven software engineer to join our Markets team. As an intern, you'll work on high-impact problems critical to ...

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

Quantitative Software Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

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Quantitative Developer Intern information

What types of projects or tasks do Quantitative Developer Interns typically work on during their internship?

Quantitative Developer Interns often work on developing and optimizing algorithms for data analysis, back-testing trading strategies, or building tools for financial model implementation. You may collaborate with quantitative analysts and senior developers to gather requirements, write and debug code, and assist with the integration of new models into production systems. Projects frequently involve handling large datasets, automating data pipelines, and conducting performance testing of code. These experiences allow interns to gain hands-on exposure to real-world financial technology challenges while contributing meaningfully to team goals.

What are the key skills and qualifications needed to thrive in the Quantitative Developer Intern position, and why are they important?

To thrive as a Quantitative Developer Intern, you need strong programming skills (particularly in Python, C++, or Java), a solid background in mathematics or statistics, and enrollment in or completion of a relevant degree such as computer science, mathematics, or engineering. Familiarity with data analysis libraries (e.g., NumPy, pandas), version control systems (like Git), and basic experience with financial modeling or quantitative tools is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help interns collaborate across teams and convey complex ideas clearly. These competencies enable quick adaptation to the fast-paced environment, accurate implementation of quantitative models, and effective teamwork in supporting financial decision-making.

What is a Quantitative Developer Intern job?

A Quantitative Developer Intern works at the intersection of finance, mathematics, and software development. They assist in building, optimizing, and maintaining quantitative models and trading systems. Their responsibilities typically include writing efficient code, working with large datasets, and collaborating with quantitative researchers and traders. The role requires strong programming skills (often in Python, C++, or Java) and a solid understanding of algorithms, data structures, and financial concepts. Interns gain hands-on experience in financial technology and quantitative finance, preparing them for full-time quant developer roles.

More about Quantitative Developer Intern jobs
What cities are hiring for Quantitative Developer Intern jobs? Cities with the most Quantitative Developer Intern job openings:
What are the most commonly searched types of Quantitative Developer jobs? The most popular types of Quantitative Developer jobs are:
What states have the most Quantitative Developer Intern jobs? States with the most job openings for Quantitative Developer Intern jobs include:
Infographic showing various Quantitative Developer Intern job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Quantitative Developer Intern

WallStreetQuants

New York, NY

$21 - $27.50/hr

Full-time

Posted 14 days ago


Job description

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets.

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems

Requirements

Responsibilities
  • Design, develop, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
  • Assist in developing trading infrastructure, market data pipelines, and execution tools.
  • Optimize code for speed, reliability, scalability, and maintainability.
  • Work with large datasets and help improve data quality, storage, and retrieval.
  • Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
  • Debug, test, and document software systems used in live or simulated trading environments.
  • Contribute to automation, monitoring, and workflow improvements across the trading platform.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
  • Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.
  • Solid understanding of data structures, algorithms, software design, and debugging.
  • Familiarity with Linux, version control, and command-line development tools.
  • Strong analytical and problem-solving abilities.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Interest in financial markets, trading systems, quantitative research, or data-driven decision-making.
Preferred Qualifications
  • Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure.
  • Familiarity with SQL, pandas, NumPy, or other data processing tools.
  • Experience building APIs, internal tools, dashboards, or research platforms.
  • Knowledge of networking, concurrency, memory management, or systems programming.
  • Exposure to financial markets, market data, order execution, backtesting, or risk systems.
  • Previous internship, research, open-source, or project experience involving production-quality software.

Benefits

What You'll Gain
  • Hands-on experience building software for quantitative trading and research.
  • Exposure to real-world trading infrastructure, market data systems, and analytical tools.
  • Mentorship from experienced quantitative developers, researchers, and traders.
  • The opportunity to work on projects with direct impact on trading and research workflows.
  • Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.