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Internship Python Quant Jobs in Woodbury, NJ (NOW HIRING)

Susquehanna

Operations Internship: Summer 2027

Bala Cynwyd, PA · On-site

$14.25 - $18.75/hr

Candidates with an advanced knowledge of Excel, as well as experience with Python, HTML, VBA or SQL ... global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our ...

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Internship Python Quant information

What is an internship Python quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What types of projects can an internship Python quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

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

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance a candidate's skills and employability in tech roles. It often offers exposure to real-world projects, networking opportunities, and a pathway to full-time positions in data science, software development, or quantitative analysis.
Internship Python Quant jobs near you

Quantitative Research Internship - Master's: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Re-posted 19 days ago

Job description

Overview
At Susquehanna, quantitative researchers tackle challenging data and algorithmic problems that inform decision-making in global financial markets. Their work spans statistical inference, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches.
As a Quantitative Research Intern, you'll gain experience that closely reflects the work of our full-time research teams while participating in a structured education program designed to accelerate your development. Through hands-on research, mentorship, and close collaboration with researchers, engineers, and traders, you'll explore open-ended questions, design experiments, develop quantitative models, and evaluate ideas through rigorous empirical analysis.
Susquehanna's extensive proprietary datasets and large-scale computing infrastructure-including a rapidly growing cluster of thousands of high-end GPUs-support computationally intensive research, large-scale simulation, and rapid experimentation. Researchers work in small, highly collaborative teams where ideas are debated openly, evidence guides decisions, and promising research can quickly produce practical impact.
Your Internship Experience
Your internship begins with Core Curriculum, an immersive, interdisciplinary program in which quantitative and machine learning researchers, traders, and software engineers learn together. You'll build a shared foundation in quantitative trading, programming, data analysis, mathematical modeling, and modern machine learning and AI tools before applying those concepts to real-world problems.
You'll spend the rest of the summer on the Blast Project-an end-to-end simulation of quantitative work at Susquehanna. You'll research and develop a model, turn it into a trading strategy, and run that strategy against high-fidelity historical market data. Each day, you'll receive measurable feedback on its performance, allowing you to test hypotheses, refine your approach, and iterate rapidly-much as our research and trading teams do.
The project is deliberately broad. Rather than exposing you to just one narrow aspect of the job, it takes you through data analysis, modeling, implementation, simulated execution, evaluation, and the judgment calls in between. That breadth leads to continuous, engaging conversations among interns and mentors-and helps make the Blast Project one of the most memorable parts of the summer.
The strategy is your own, but you won't develop it alone. You'll be paired with a mentor from our research and trading staff, supported by dedicated teaching assistants, and surrounded by a cohort of interns working through the same challenge.
What we're looking for
We're looking for intellectually curious researchers who are energized by difficult quantitative problems and motivated by rigorous experimentation.
You may be a strong fit if you have:
  • A masters' degree in progress, graduating in 2027 or 2028, in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline
  • A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling
  • Experience developing research code in Python and working with large datasets; experience with C++, scientific computing, or high-performance computing is a plus
  • Excellent problem-solving skills and an interest in using quantitative models to better understand complex systems
  • Strong communication skills and an interest in collaborating with researchers, engineers, and traders to refine ideas through discussion and experimentation
  • A track record of intellectual curiosity demonstrated through coursework, independent projects, research, competitions, strategic games, or other analytical pursuits
  • The ability to thrive in an environment that values creativity, evidence-based thinking, and continuous learning

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship. 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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