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Quant Developer Internship Jobs (NOW HIRING)

Motion Recruitment

Quantitative Developer

Chicago, IL · On-site

A company in the financial sector is seeking a Quantitative Developer to join their team. In this ... Internships or academic work do not count toward requirement. Required Skills & Experience * 3+ ...

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Quant Developer Internship information

What is a Quant Developer Internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

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

AspectQuant Developer InternshipQuant Analyst Internship
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 EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

What are some common challenges faced during a Quant Developer Internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

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 strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.
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Quant Developer Internship jobs near you
Infographic showing various Quant Developer Internship job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Quantitative Developer

Quantitative Developer

Motion Recruitment

Chicago, IL • On-site

Other

Medical, Dental, Vision, PTO

Posted 15 days ago

Job description

A company in the financial sector is seeking a Quantitative Developer to join their team. In this role, you will use your strong mathematical, statistical, and programming expertise to design, implement, and optimize quantitative models for trading, risk management, and data analysis.
The ideal candidate will have experience collaborating with quantitative analysts and traders to turn research algorithms into high-performance, production-ready code, using languages such as Python, C++, or Java. This opportunity is perfect for someone who has a deep understanding of financial markets, robust software engineering skills, and thrives in a fast-paced, collaborative environment committed to continuous innovation.
Must have professional, post-graduate experience. Internships or academic work do not count toward requirement.
Required Skills & Experience
  • 3+ years of professional experience. Internships and academic work do not count toward requirement
  • Experience with high-frequency trading or low-latency systems
  • Solid understanding of algorithms, data structures, and software engineering principles
  • Programming skills in Python, Java, C++, etc.
  • Bachelor’s degree in Computer Science or related field
Desired Skills & Experience
  • Cloud computing and distributed systems
  • Advanced degree in a quantitative field
What You Will Be Doing
Daily Responsibilities
  • 70% Hands On
  •  30% Team Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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