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Internship Math Content Developer Jobs in New York

Penderie

Associate Internship Program

Edgewater, NJ

... technology, programing languages & web technologies, business analysis, project management etc ... Current Positions in MAP: - Business / Research Analyst - Editors, Presentation Experts, Content ...

The STEM Alliance

Unpaid Internship

Mamaroneck, NY · On-site

$18 - $23.25/hr

STEM Education & Equity - Providing hands-on, fun, enriching STEM programming to K-12 * Summer ... content What You Bring: A passion for understanding nonprofit marketing and communications ...

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Internship Math Content Developer information

What is the difference between Internship Math Content Developer vs Internship Data Analyst?

AspectInternship Math Content DeveloperInternship Data Analyst
Required SkillsMathematics, content creation, curriculum designData analysis, Excel, statistical tools
Work EnvironmentEducational, content-focusedData-driven, analytical
Industry UsageEducation, e-learning companiesBusiness, finance, tech

The Internship Math Content Developer primarily focuses on creating and designing math educational content, while the Internship Data Analyst analyzes data to inform decisions. Both roles require analytical skills, but the content developer emphasizes curriculum development, whereas the data analyst emphasizes data interpretation and reporting.

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Quantitative Researcher - Summer Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 5 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