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Internship Quantitative Analyst Jobs in San Ramon, CA

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Analyst

San Francisco, CA · On-site

$112K/yr

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Data Analyst

Oakland, CA · On-site

$120 - $172/hr

Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science ... Up to 4 years of experience (including internships) turning large datasets into actionable business ...

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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 22, 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 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 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 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:

What are popular job titles related to Internship Quantitative Analyst jobs in San Ramon, CA?

For Internship Quantitative Analyst jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Internship Quantitative Analyst jobs in San Ramon, CA look for?

The top searched job categories for Internship Quantitative Analyst jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Internship Quantitative Analyst jobs?

Cities near San Ramon, CA with the most Internship Quantitative Analyst job openings:

STEM Specialist - Quantitative Analyst

Mercor

San Francisco, CA • On-site, Remote

$75/hr

Full-time

Posted 3 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Expert (Physics, Chemistry, Mathematics, Biology)
Type: Contract
Compensation: $75/hour
Location: Remote

Role Responsibilities

  • Analyze complex problems in physics, chemistry, mathematics, or biology to enhance AI model training and evaluation.
  • Apply structured reasoning and quantitative methods to improve model outputs and problem-solving capabilities.
  • Collaborate with interdisciplinary teams to address open-ended challenges and ensure comprehensive solutions.
  • Communicate solutions clearly and concisely to support AI research teams and elevate training data quality.
  • Work independently and asynchronously to deliver high-quality outputs with flexible hours.

Qualifications

Must-Have

  • Bachelor's, Master's, or PhD in a STEM field (or currently pursuing one).
  • 1+ year of relevant experience (academic, research, internships, or industry).
  • Strong foundation in physics, chemistry, mathematics, or biology.
  • Demonstrated strength in problem-solving and analytical thinking.
  • Ability to work independently and deliver high-quality outputs.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.