ZipRecruiter

Log In

1

Internship Mathematical Modeling Jobs in New York

next page

Showing results 1-20

All JobsMathematical Modeling JobsInternship Mathematical Modeling JobsInternship Mathematical Modeling Jobs in New York

Internship Mathematical Modeling information

What is an internship in mathematical modeling?

An internship in mathematical modeling is a temporary, practical work experience where students or recent graduates apply mathematical theories and computational techniques to solve real-world problems. Interns typically work with data analysis, simulation, and mathematical software to develop models in fields such as engineering, finance, or science. These internships help participants gain hands-on experience, improve technical skills, and build professional networks in preparation for future careers.

What types of projects can I expect to work on during an internship in mathematical modeling?

As an intern in mathematical modeling, you will likely work on projects that involve creating and analyzing mathematical representations of real-world systems. These can include tasks such as developing predictive models for business processes, optimizing logistics, or simulating scientific phenomena. You'll typically collaborate with data scientists, engineers, and subject matter experts to gather requirements, validate your models, and present findings. This hands-on experience helps you build both your technical and teamwork skills, preparing you for more advanced roles in analytics and modeling.

What are the key skills and qualifications needed to thrive as an internship in mathematical modeling, and why are they important?

To thrive in a Mathematical Modeling internship, you need solid foundations in mathematics, statistics, and programming, usually supported by coursework in applied mathematics or related fields. Familiarity with technical tools like MATLAB, Python, R, and simulation software is often expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when working with complex data and interdisciplinary teams. These competencies are crucial for accurately developing models, interpreting results, and conveying findings to diverse stakeholders.

What is the difference between Internship Mathematical Modeling vs Data Analyst Internship?

AspectInternship Mathematical ModelingData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldsOften pursuing or recent graduate in statistics, data science, or related fields
Work EnvironmentResearch-focused, project-based, often in academia or R&D departmentsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in industries like finance, engineering, and tech for modeling complex systemsCommon in marketing, finance, healthcare, and tech for data analysis

Internship Mathematical Modeling and Data Analyst Internships both involve working with data, but modeling internships focus on developing mathematical representations of systems, while data analysis internships emphasize interpreting and visualizing data for decision-making. The choice depends on your interest in theoretical modeling versus practical data insights.

What are the most commonly searched types of Mathematical Modeling jobs in New York?

The most popular types of Mathematical Modeling jobs in New York are:

What cities in New York are hiring for Internship Mathematical Modeling jobs?

Cities in New York with the most Internship Mathematical Modeling job openings:

Internship Mathematical Modeling 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