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Quantitative Research Method Instructor Jobs (NOW HIRING)

Egg Strategy

Associate Director - Quantitative Market Research COMPANY BACKGROUND Egg Strategy is a strategic ... Working with and training junior level staff on standard and advanced analytic methodologies and ...

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Quantitative Research Method Instructor information

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$81.5K

$100.1K

$128K

How much do quantitative research method instructor jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative research method instructor in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Research Method Instructor vs Data Analyst?

AspectQuantitative Research Method InstructorData Analyst
Required CredentialsMaster's or PhD in statistics, research methods, or related field; teaching experienceBachelor's or higher in data science, statistics, or related field; technical skills
Work EnvironmentEducational institutions, training programs, online coursesBusiness, finance, healthcare, or tech companies; data-driven departments
Employer & Industry UsageAcademic and training sectors; research institutionsCorporate, consulting, or tech industries; data-centric roles

While both roles require strong quantitative skills and knowledge of research methods, the Quantitative Research Method Instructor primarily focuses on teaching and curriculum development in educational settings. In contrast, a Data Analyst applies quantitative techniques to analyze data and support business decisions in various industries.

What are popular job titles related to Quantitative Research Method Instructor jobs?

For Quantitative Research Method Instructor jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Research Method Instructor job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Quantitative Researcher - Internship

New York, NY • On-site

WallStreetQuants
See more jobs at WallStreetQuantsexternal

Internship

Re-posted 27 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.