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Quantitative Developer Intern Jobs in Sewell, NJ

Aon

Early Careers: Actuarial Intern

Radnor, PA · On-site

Design and costing of new retirement programs, programming of innovative pension admin systems ... as quantitative comparison of comprehensive employee benefit programs for groups of employers.

Aon

Early Careers: Actuarial Intern

Wayne, PA · On-site

Design and costing of new retirement programs, programming of innovative pension admin systems ... as quantitative comparison of comprehensive employee benefit programs for groups of employers.

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Quantitative Developer Intern information

What is a quantitative developer intern?

A Quantitative Developer Intern works at the intersection of finance, mathematics, and software development. They assist in building, optimizing, and maintaining quantitative models and trading systems. Their responsibilities typically include writing efficient code, working with large datasets, and collaborating with quantitative researchers and traders. The role requires strong programming skills (often in Python, C++, or Java) and a solid understanding of algorithms, data structures, and financial concepts. Interns gain hands-on experience in financial technology and quantitative finance, preparing them for full-time quant developer roles.

What types of projects or tasks does a quantitative developer intern typically work on during their internship?

Quantitative Developer Interns often work on developing and optimizing algorithms for data analysis, back-testing trading strategies, or building tools for financial model implementation. You may collaborate with quantitative analysts and senior developers to gather requirements, write and debug code, and assist with the integration of new models into production systems. Projects frequently involve handling large datasets, automating data pipelines, and conducting performance testing of code. These experiences allow interns to gain hands-on exposure to real-world financial technology challenges while contributing meaningfully to team goals.

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

To thrive as a Quantitative Developer Intern, you need strong programming skills (particularly in Python, C++, or Java), a solid background in mathematics or statistics, and enrollment in or completion of a relevant degree such as computer science, mathematics, or engineering. Familiarity with data analysis libraries (e.g., NumPy, pandas), version control systems (like Git), and basic experience with financial modeling or quantitative tools is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help interns collaborate across teams and convey complex ideas clearly. These competencies enable quick adaptation to the fast-paced environment, accurate implementation of quantitative models, and effective teamwork in supporting financial decision-making.

What job categories do people searching Quantitative Developer Intern jobs in Sewell, NJ look for?

The top searched job categories for Quantitative Developer Intern jobs in Sewell, NJ are:

What cities near Sewell, NJ are hiring for Quantitative Developer Intern jobs?

Cities near Sewell, NJ with the most Quantitative Developer Intern job openings:

Quantitative Developer Intern jobs near you

Machine Learning Internship - PhD: 2027 - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

Full-time

Re-posted yesterday

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect

  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

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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