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Quantitative Developer Intern Jobs in Harrison, NJ

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

Showing results 21-40

Quantitative Developer Intern information

What is a quantitative developer intern?

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.

What types of projects or tasks does a quantitative developer intern 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 as a quantitative developer intern, 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 are popular job titles related to Quantitative Developer Intern jobs in Harrison, NJ?

For Quantitative Developer Intern jobs in Harrison, NJ, the most frequently searched job titles are:

What job categories do people searching Quantitative Developer Intern jobs in Harrison, NJ look for?

The top searched job categories for Quantitative Developer Intern jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Quantitative Developer Intern jobs?

Cities near Harrison, NJ with the most Quantitative Developer Intern job openings:

Infographic showing various Quantitative Developer Intern job openings in Harrison, NJ as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Campus Quantitative Researcher, UG/MS (Intern)

P2P

Manhattan, NY โ€ข On-site

$255 - $345/hr

Other

Posted 5 days ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What Youโ€™ll Do:

The quant research internship is an intensive 10โ€‘week program focused on enhancing your quantitative and programming skills, as well as helping you experience what itโ€™s like to be a fullโ€‘time quant researcher at Jump.

At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant researcher, quant trader, and quant developer. During our internship you will get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics.

You will work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant researchers, traders, and developers.

Other duties as assigned or needed.

Skills Youโ€™ll Need:

We are seeking the sharpest analytical minds from top undergraduate and graduate programs.

Ideal candidates will have:

  • Outstanding skills in computer science, machine learning, statistics, and mathematics
  • Competitive spirit and uncommon drive to learn and improve
  • Programming experience
  • Appetite for riskโ€‘taking
  • Demonstrated interest in financial markets

Reliable and predictable availability required.

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for fullโ€‘time positions.

The estimated base salary for this role is $300,000 per year.

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