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Internship Quantitative Developer Jobs in Chicago, IL

Quantitative Researcher

Chicago, IL · On-site

$125K - $200K/yr

Mathematics, Statistics, Physics, Computer Science, Data Science, etc.), graduating in 2027 by August '27 1+ industry internships as a Quantitative Researcher, Developer, or Trader Experience with ...

Quantitative Researcher

Chicago, IL · On-site

$125K - $200K/yr

Mathematics, Statistics, Physics, Computer Science, Data Science, etc.), graduating in 2027 by August '27 1+ industry internships as a Quantitative Researcher, Developer, or Trader Experience with ...

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Apply your quantitative and programming skills to solve real trading challenges and build impactful ...

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Apply your quantitative and programming skills to solve real trading challenges and build impactful ...

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians ... Intermediate programming skills in Python * The ability to react quickly and accurately to rapidly ...

Showing results 21-40

Internship Quantitative Developer information

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What are the key skills and qualifications needed to thrive as an internship quantitative developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.
What are the most commonly searched types of Quantitative Developer jobs in Chicago, IL? The most popular types of Quantitative Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Internship Quantitative Developer jobs? Cities near Chicago, IL with the most Internship Quantitative Developer job openings:

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL • On-site

Full-time

Posted 23 days ago


Job description

About the Role

A proprietary trading firm based in Chicago is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor’s, Master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.