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Internship Physics Programmer Jobs in New York (NOW HIRING)

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Internship Physics Programmer information

What is the difference between Internship Physics Programmer vs Physics Software Developer?

AspectInternship Physics ProgrammerPhysics Software Developer
CredentialsTypically pursuing or recent graduate in physics, computer science, or related fieldBachelor's or master's in physics, computer science, or software engineering
Work EnvironmentInternship setting, often in research labs or tech companiesFull-time employment in software development teams, research institutions, or tech firms
Industry UsageUsed in academic, research, and early-stage industry projectsCommon in software companies, research labs, and simulation firms

The main difference is that an Internship Physics Programmer is a temporary, entry-level position focused on gaining experience in physics-based programming, while a Physics Software Developer is a full-time professional role responsible for developing and maintaining physics simulation software. Interns typically work under supervision, whereas developers have more responsibility and independence in their projects.

What are the most commonly searched types of Physics Programmer jobs in New York?

The most popular types of Physics Programmer jobs in New York are:

Internship Physics Programmer jobs near you

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 9 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply