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Internship Quantitative Developer Jobs (NOW HIRING)

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... quantitative discipline * Strong programming experience in Python with production-level coding ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... quantitative discipline * Strong programming experience in Python with production-level coding ...

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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.
More about Internship Quantitative Developer jobs
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Quantitative Developer

Other

Medical, Dental, Vision, PTO

Posted 6 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.