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Quantitative Analysis Intern Jobs in California (NOW HIRING)

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

Showing results 41-60

Quantitative Analysis Intern information

See California salary details

$21.1K

$73.6K

$161.1K

How much do quantitative analysis intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative analysis intern in California is $73,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,189.00 and $97,433.00 per year, depending on experience, location, and employer.

What does a quantitative analysis intern do?

A Quantitative Analysis Intern typically assists with analyzing data, creating statistical models, and supporting financial or business decision-making using quantitative methods. They may work with programming languages like Python or R, and tools such as Excel to interpret large datasets. Their work often involves researching financial markets, testing strategies, and presenting findings to senior analysts or managers. This role provides hands-on experience in applying mathematical and statistical techniques to real-world problems in finance, consulting, or technology firms.

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

As a Quantitative Analysis Intern, you can expect to assist with data collection, cleaning, and statistical analysis to support ongoing research or trading strategies. Interns often work closely with senior analysts and team members to develop predictive models, backtest strategies, and prepare reports on their findings. It's common to collaborate with professionals in both technology and finance, gaining exposure to real-world applications of quantitative methods. This hands-on experience helps interns build both technical and communication skills, while also providing insight into the fast-paced environment of quantitative finance.

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

To thrive as a Quantitative Analysis Intern, you need a solid background in mathematics, statistics, and data analysis, often supported by coursework in quantitative fields such as finance, economics, or engineering. Familiarity with programming languages like Python or R, Excel, and statistical software is typically required, along with knowledge of data visualization tools. Strong problem-solving abilities, attention to detail, and effective communication set standout interns apart in this role. These skills are crucial for accurately analyzing complex data, communicating insights, and supporting data-driven decision-making in a fast-paced environment.

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

AspectQuantitative Analysis InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldsBachelor's or master's degree in a quantitative field; certifications like CFA or FRM are common
Work EnvironmentInternship setting, often part-time or summer roles within finance firms or banksFull-time professional role in investment firms, banks, or hedge funds
Employer & Industry UsageUsed by firms to train and evaluate potential future analystsCore role responsible for developing models, analyzing data, and supporting investment decisions

In summary, a Quantitative Analysis Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for in-depth data analysis and model development within the finance industry.

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

The most popular types of Quantitative Analysis jobs in California are:

What cities in California are hiring for Quantitative Analysis Intern jobs?

Cities in California with the most Quantitative Analysis Intern job openings:

Infographic showing various Quantitative Analysis Intern job openings in California as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 2% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,564 per year, or $35.4 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Fresno, CA • On-site

$35/hr

Other

Posted 5 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 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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