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Quant Developer Intern Jobs in New York (NOW HIRING)

Point72

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 ...

Point72

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 ...

Seven Research

Algorithmic Developer - Intern

New York, NY · On-site

$200K - $300K/yr

Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and ...

Point72

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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Quant Developer Intern information

What are the key skills and qualifications needed to thrive as a Quant Developer Intern, and why are they important?

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 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 Quant Developer Interns?

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 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 are the most commonly searched types of Quant Developer jobs in New York? The most popular types of Quant Developer jobs in New York are:
What are popular job titles related to Quant Developer Intern jobs in New York? For Quant Developer Intern jobs in New York, the most frequently searched job titles are:
What job categories do people searching Quant Developer Intern jobs in New York look for? The top searched job categories for Quant Developer Intern jobs in New York are:
What cities in New York are hiring for Quant Developer Intern jobs? Cities in New York with the most Quant Developer Intern job openings:
Quant Developer Intern jobs near you
Infographic showing various Quant Developer Intern job openings in New York as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Quantitative Developer Intern

Quantitative Developer Intern

Point72

New York, NY

$21 - $27.50/hr

Other

Posted 26 days ago

Job description

Job Description

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

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 develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

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.

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