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Quantitative Intern Jobs in Missouri (NOW HIRING)

Genomics Co-Op

Chesterfield, MO · On-site

$22.75 - $47.75/hr

Genomics Co-Op Major Tasks We are seeking a highly motivated Genomics Co-op/Intern to support the ... analytical and quantitative skills Ability to work independently and manage multiple tasks ...

New

$35/hr

The sustainability graduate intern will collaborate directly with the Director of Global ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

New

$35/hr

The sustainability graduate intern will collaborate directly with the Director of Global ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

New

$35/hr

The sustainability graduate intern will collaborate directly with the Director of Global ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

New

Showing results 41-60

Quantitative Intern information

See Missouri salary details

$7

$35

$80

How much do quantitative intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for quantitative intern in Missouri is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.40 and $54.01 per hour, depending on experience, location, and employer.

What is a quantitative intern?

Quantitative Interns are students or recent graduates who work in finance, technology, or research roles to apply mathematical, statistical, and programming skills to solve real-world problems. They often assist with data analysis, model development, and algorithm testing under the guidance of experienced quantitative analysts or researchers. These internships provide hands-on experience in quantitative fields such as investment banking, hedge funds, or tech companies, helping interns develop technical skills and industry knowledge. Through this role, interns gain exposure to complex financial instruments, coding languages like Python or R, and quantitative research methodologies.

What types of projects can a quantitative intern expect to work on during their internship?

As a Quantitative Intern, you can expect to work on projects involving data analysis, model development, and backtesting trading strategies. You may collaborate with senior quants and traders to analyze large datasets, validate models, and communicate your findings to the team. These projects often require strong programming skills and a proactive approach to problem-solving. The fast-paced environment offers opportunities to gain hands-on experience and exposure to real-world financial challenges.

What are the key skills and qualifications needed to thrive as a quantitative intern, and why are they important?

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience with data analysis tools and financial modeling software are commonly required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills and qualities are crucial for accurately analyzing complex data sets, contributing to research, and delivering actionable insights in a fast-paced quantitative environment.

What is the difference between Quantitative Intern vs Quantitative Analyst?

AspectQuantitative InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, mathematics, or related fieldBachelor's or master's degree in finance, mathematics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or summer program within financial firms or investment banksFull-time role within financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed by firms to train and evaluate potential future full-time analystsCore role responsible for developing models, analyzing data, and supporting trading decisions

In summary, a Quantitative Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for quantitative modeling and analysis within the finance industry.

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

The most popular types of Quantitative jobs in Missouri are:

What cities in Missouri are hiring for Quantitative Intern jobs?

Cities in Missouri with the most Quantitative Intern job openings:

Infographic showing various Quantitative 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, with an average salary of $73,871 per year, or $35.5 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Independence, MO • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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