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Internship Quantitative Analyst Jobs in San Ramon, CA

During the internship, you will support the Data team by analyzing data, building models ... Or a related quantitative field. We may use artificial intelligence (AI) tools to support parts of ...

Data Scientist

Berkeley, CA ยท On-site +1

$150K - $190K/yr

Your role will involve data curation, analysis, interpretation, visualization, and communication of ... Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ...

During the internship, you will support the Data team by analyzing data, building models ... Or a related quantitative field. We may use artificial intelligence (AI) tools to support parts of ...

A plus if you have work experience in marketing/advertising -including internships * You have some ... You have excellent quantitative (analytical and math) skills You can show skill, confidence, and ...

... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Research Internship/Co-op

San Francisco, CA ยท On-site +1

$45 - $60/hr

... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Data Scientist

Berkeley, CA ยท On-site

$150 - $190/hr

Your role will involve data curation, analysis, interpretation, visualization, and communication of ... Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ...

Showing results 41-60

Internship Quantitative Analyst information

See San Ramon, CA salary details

$63.1K

$149.6K

$268.2K

How much do internship quantitative analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for internship quantitative analyst in San Ramon, CA is $149,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $162,600.00 per year, depending on experience, location, and employer.

What is an internship quantitative analyst?

An Internship Quantitative Analyst is a student or recent graduate who works temporarily at a financial institution, such as a bank or investment firm, to support quantitative research and analysis. Their main responsibilities include analyzing financial data, building statistical models, and assisting senior analysts in making investment decisions. This role provides hands-on experience with data analysis tools, programming languages, and financial modeling techniques. It is designed to help interns develop essential quantitative and analytical skills while gaining insight into how financial markets operate.

What are the key skills and qualifications needed to thrive as an internship quantitative analyst, and why are they important?

To thrive as an Internship Quantitative Analyst, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in a relevant degree program such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience with statistical modeling tools are often required. Attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills and qualities are crucial for accurately analyzing data, developing models, and communicating insights that drive informed financial decisions.

What is the difference between Internship Quantitative Analyst vs Quantitative Analyst?

AspectInternship Quantitative AnalystQuantitative Analyst
CredentialsTypically pursuing or recent graduate, some programming or finance courseworkBachelor's or master's in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentInternship programs, supervised, learning-focusedFull-time, professional setting, responsible for analysis and model development
Employer & Industry UsageFinancial firms, hedge funds, investment banks during internship periodsSame industries, with ongoing roles after internship

The main difference is that an Internship Quantitative Analyst is a temporary, learning-focused position for students or recent graduates, while a Quantitative Analyst is a full-time professional responsible for developing and implementing complex financial models. Internships serve as a stepping stone toward a full career in quantitative finance.

What types of projects or tasks can an internship quantitative analyst expect to work on during their internship?

As an Internship Quantitative Analyst, you can expect to work on a variety of data-driven projects such as building and testing financial models, analyzing large datasets to identify trends or anomalies, and assisting in the development of trading strategies. You'll often collaborate closely with senior quants, traders, and software engineers, contributing to both short-term research tasks and longer-term initiatives. This hands-on experience will help you gain practical skills in programming, statistical analysis, and financial theory, while also exposing you to the fast-paced, collaborative environment typical of quantitative finance teams.
What are the most commonly searched types of Quantitative Analyst jobs in San Ramon, CA? The most popular types of Quantitative Analyst jobs in San Ramon, CA are:
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Data Science intern

DEUNA

San Francisco, CA โ€ข On-site

Temporary

Re-posted 10 days ago


Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.