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Quantitative Researcher Intern Jobs in Missouri (NOW HIRING)

Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

New

Manager - National Tax Office

Jackson, MO · Remote

$96K - $127K/yr

Are you a tax professional with a passion for research, modeling, and solving complex entity ... Perform quantitative analysis and tax modeling to evaluate entity structures, transactions, and ...

Quantitative Researcher Intern information

What does a quantitative researcher intern do?

A Quantitative Researcher Intern typically works with data analysis, statistical modeling, and algorithm development to support trading or investment strategies in finance and technology firms. They collaborate with experienced researchers to collect data, run simulations, and test hypotheses using programming languages like Python, R, or MATLAB. The role often involves applying mathematical and statistical techniques to solve real-world problems and gain actionable insights. Interns gain hands-on experience in quantitative research while contributing to the team’s projects and learning about the industry.

What are the key skills and qualifications needed to thrive as a quantitative researcher intern?

To thrive as a Quantitative Researcher Intern, you need strong analytical skills, a solid background in mathematics or statistics, and progress toward a relevant degree such as in math, physics, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis software are typically required. Critical thinking, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These capabilities are essential for analyzing complex datasets, generating actionable insights, and contributing effectively to research projects.

What does a typical project look like for a quantitative researcher intern, and how much autonomy can I expect?

As a Quantitative Researcher Intern, you will usually work on data-driven research projects that involve formulating hypotheses, developing models, and analyzing large datasets to identify trends or inefficiencies in financial markets. While you'll receive guidance and mentorship from experienced researchers, interns are often encouraged to take ownership of their projects, contribute ideas, and present findings. Collaboration with other interns, software engineers, and traders is common, promoting both learning and impact. The level of autonomy depends on your experience and the firm's structure, but proactive interns often find opportunities to drive meaningful research.

What is the difference between Quantitative Researcher Intern vs Quantitative Analyst Intern?

AspectQuantitative Researcher InternQuantitative Analyst Intern
Required CredentialsTypically pursuing or holding a degree in finance, economics, mathematics, or related fieldsSimilar educational background, often with a focus on finance or data analysis
Work EnvironmentResearch-focused, often in financial firms, hedge funds, or asset management companiesData analysis and modeling in financial institutions, investment banks, or asset managers
Employer & Industry UsageCommonly used in quantitative finance, hedge funds, and trading firmsWidely used in finance, banking, and investment sectors

Both roles involve working with data and financial models, but Quantitative Researcher Interns focus more on developing new strategies and models, while Quantitative Analyst Interns typically analyze existing data to support trading decisions. The roles often overlap in skills and industry, but differ slightly in focus and responsibilities.

Is it hard to get a quantitative researcher intern?

Securing a quantitative researcher intern position can be competitive due to the specialized skills required, such as strong programming, statistical analysis, and mathematical knowledge. Applicants often need relevant coursework, internships, or research experience, along with proficiency in tools like Python, R, or MATLAB, to improve their chances.

What are the most commonly searched types of Quantitative Researcher jobs in Missouri?

The most popular types of Quantitative Researcher jobs in Missouri are:

What are popular job titles related to Quantitative Researcher Intern jobs in Missouri?

For Quantitative Researcher Intern jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Quantitative Researcher Intern jobs in Missouri look for?

The top searched job categories for Quantitative Researcher Intern jobs in Missouri are:

Infographic showing various Quantitative Researcher Intern job openings in Missouri as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution.

Data Science Intern

Jobtailor

California, MO • On-site

Other

Posted 3 days ago

New


Job description

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data
  • Integrate internal data with external data sources and APIs to discover and implement actionable insights
  • Design and craft data science models to communicate solutions to customers and company leadership
Requirements
  • Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • Must be continuing in the same course of study of your PhD degree following completion of the internship
  • At least 6 months experience or academic work using open source programming languages for data analysis
  • At least 6 months of experience or academic work using machine learning techniques
  • At least 6 months of experience with either Python, R or SQL
Core Competencies

Demonstrates expertise in data science model design and integration of internal and external data sources to derive actionable insights. Proficient in open-source programming languages and machine learning techniques, with a strong foundation in quantitative analysis.

Highest-signal resume keywords
  • PhD In Quantitative Field
  • Open Source Programming Languages
  • Machine Learning Techniques
  • Python
  • R
Hard Skills
  • Data Analysis
  • Data Science Modeling
  • Statistical Analysis
  • Quantitative Research
  • Analytics
Industry Keywords
  • Business Data
  • Actionable Insights
Tools & Technologies
  • APIs
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