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Quant Developer Internship Jobs in Pennsylvania (NOW HIRING)

Opportunities, including full-time summer internships and part-time work throughout the school year ... Programming experience, ideally including R, C++ and/or Python. * Experience with regression ...

Opportunities, including full-time summer internships and part-time work throughout the school year ... Programming experience, ideally including R, C++ and/or Python. * Experience with regression ...

... quant trading. During their time on the trading floor, interns will be fully embedded within a ... General computer skills required; computer programming skills a plus * Demonstrated interest in ...

New

$8.6K/wk

Breadth: Explore all aspects of quant work and different areas of Susquehanna's business ... Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or ...

New

$8.6K/wk

Breadth. Explore all aspects of quant work and different areas of Susquehanna's business ... Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or ...

New

$15.75 - $20.50/hr

If your experience is a better fit for our 2027 Quantitative Strategy Development Internship, apply ... Enrolled in a bachelor's or master's program in computer science, computer engineering, mathematics ...

New

Showing results 21-40

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 are the key skills and qualifications needed to thrive as a quant developer intern?

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.

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 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.

Is it hard to get a quant developer internship?

Securing a quant developer internship is competitive due to high demand for strong programming skills in languages like Python, C++, and MATLAB, as well as a solid understanding of mathematics and finance. Candidates often need relevant coursework, prior experience, and strong problem-solving abilities to stand out in the application process.

What are the most commonly searched types of Quant Developer jobs in Pennsylvania?

The most popular types of Quant Developer jobs in Pennsylvania are:

What are popular job titles related to Quant Developer Internship jobs in Pennsylvania?

For Quant Developer Internship jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Quant Developer Internship jobs in Pennsylvania look for?

The top searched job categories for Quant Developer Internship jobs in Pennsylvania are:

Infographic showing various Quant Developer Internship job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Quantitative Systematic Trading Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA โ€ข On-site

Full-time, Temporary, Internship

Re-posted 15 days ago


Job description

Overview
As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna's business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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