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Quant Developer Intern Jobs in Chicago, IL (NOW HIRING)

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Quant Developer Intern information

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 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 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 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 Chicago, IL? The most popular types of Quant Developer jobs in Chicago, IL are:
What are popular job titles related to Quant Developer Intern jobs in Chicago, IL? For Quant Developer Intern jobs in Chicago, IL, the most frequently searched job titles are:
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What cities near Chicago, IL are hiring for Quant Developer Intern jobs? Cities near Chicago, IL with the most Quant Developer Intern job openings:
Quant Developer Intern jobs near you
Infographic showing various Quant Developer Intern job openings in Chicago, IL as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Campus AI Research Engineer - Deep Learning (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Other

Re-posted 2 days ago

Job description

Campus Ai Research Engineer - Deep Learning (Intern)

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.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.

What You'll Do:

  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability

Bonus Points:

  • Experience with HPC and distributed large model training
  • Experience with GPU performance optimization (CUDA or ROCm)
  • Experience with end-to-end model development
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure

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

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

Apply