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Computer Science Intern Jobs in Hamilton, NJ (NOW HIRING)

WallStreetQuants

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 ... Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering ...

Octaura

Intern, Data Engineering

New York, NY

As an intern on the data engineering team you will work directly with our senior data engineers ... The ideal candidate has a computer science or related background, some experience using SQL and ...

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Computer Science Intern information

What is a Computer Science Intern job?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a Computer Science Intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

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

To thrive as a Computer Science Intern, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and basic software development principles, typically backed by ongoing coursework in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes exposure to cloud platforms or coding certifications can be advantageous. Strong analytical thinking, effective communication, initiative, and the ability to work well within a team are valuable soft skills in this role. These skills and qualities ensure that interns can quickly contribute to projects, adapt to new technologies, and collaborate effectively with experienced professionals.

What are the most commonly searched types of Computer Science jobs in Hamilton, NJ? The most popular types of Computer Science jobs in Hamilton, NJ are:
What cities near Hamilton, NJ are hiring for Computer Science Intern jobs? Cities near Hamilton, NJ with the most Computer Science Intern job openings:
Computer Science Intern jobs near you
Infographic showing various Computer Science Intern job openings in Hamilton, NJ as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Quantitative Developer Intern

WallStreetQuants

New York, NY • On-site

$21 - $27.50/hr

Internship

This job post has expired 4 days ago. Applications are no longer accepted.

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.