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Quant Developer Intern Jobs in Edison, NJ (NOW HIRING)

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Quantitative analyses, including energy and carbon emissions calculations, thermal comfort analysis ... Bachelor's degree minimum in mechanical engineering, building science, or related field.

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Quantitative analyses, including energy and carbon emissions calculations, thermal comfort analysis ... Bachelor's degree minimum in mechanical engineering, building science, or related field.

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Quantitative analyses, including energy and carbon emissions calculations, thermal comfort analysis ... Bachelor's degree minimum in mechanical engineering, building science, or related field.

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

New

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

New

Showing results 21-40

Quant Developer Intern information

What is a quant developer intern?

Quant Developer Interns are students or recent graduates who work with quantitative teams at financial institutions or hedge funds to support the development and implementation of mathematical models and software for trading, risk management, or financial analysis. They typically assist with coding, data analysis, and model validation using programming languages like Python, C++, or Java. Interns in this role gain hands-on experience in applying quantitative techniques to solve real-world finance problems, often working closely with quantitative analysts and developers. The position is ideal for those interested in quantitative finance, programming, and applying mathematical concepts to financial markets.

What are the key skills and qualifications needed to thrive as a quant developer intern?

To thrive as a Quant Developer Intern, you need a solid background in mathematics, statistics, and programming, often supported by progress toward a degree in a quantitative field. Familiarity with programming languages such as Python, C++, or Java, and experience with tools like MATLAB or financial data APIs, are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help set candidates apart. These skills and qualities are essential for developing, testing, and communicating complex quantitative models that support investment and trading strategies.

What types of projects and daily tasks can a quant developer intern expect to work on?

As a Quant Developer Intern, you can expect to work on a variety of projects that involve developing, testing, and optimizing quantitative models used in financial trading or risk management. Daily tasks often include coding algorithms, analyzing large datasets, and collaborating with quantitative analysts and senior developers to implement research ideas. You may also be involved in troubleshooting issues, streamlining code, and contributing to team meetings to discuss project progress and technical challenges. This hands-on exposure helps build both your technical and financial industry knowledge while allowing you to contribute meaningfully to the team's goals.

What is the difference between Quant Developer Intern vs Quant Analyst Intern?

AspectQuant Developer InternQuant Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentFocuses on coding, algorithm development, and software implementationFocuses on data analysis, financial modeling, and market research
Employer & Industry UsageCommon in hedge funds, trading firms, and financial technology companiesCommon in investment banks, asset management firms, and financial institutions

While both roles involve finance and data analysis, the Quant Developer Intern primarily works on coding and developing trading algorithms, whereas the Quant Analyst Intern focuses on analyzing financial data and creating models. The roles often overlap in skills but differ in daily tasks and focus areas.

What are popular job titles related to Quant Developer Intern jobs in Edison, NJ?

For Quant Developer Intern jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Quant Developer Intern jobs in Edison, NJ look for?

The top searched job categories for Quant Developer Intern jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Quant Developer Intern jobs?

Cities near Edison, NJ with the most Quant Developer Intern job openings:

Infographic showing various Quant Developer Intern job openings in Edison, NJ as of August 2026, with employment types broken down into 76% Full Time, 7% Part Time, 3% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Quantitative Research Intern (NLP)

Point72

New York, NY

Internship

Re-posted 24 days ago


Job description

ROLE/RESPONSIBILTIES:

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.

Responsibilities may include:

  • Using NLP to construct features from varied datasets
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production

REQUIREMENTS:

  • Bachelor's, Master's or PhD candidate in computer science or other quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong understanding of machine learning and statistics
  • Prior research experience preferred
  • Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
  • Data science stack familiarity preferred
  • An interest in financial markets
  • Great attitude
  • A collaborative mindset
  • Commitment to the highest ethical standards

ABOUT POINT72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.