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Quantitative Researcher Intern Jobs in California

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Quantitative Researcher Intern information

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.

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

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

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

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

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

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

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

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

Infographic showing various Quantitative Researcher Intern job openings in California as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution.

$18 - $59/hr

Internship

Posted 7 days ago


Job description

****Please note: This position is exclusively for the Fall 2026 internship term****

Our research team works on cutting-edge projects in the field of computer vision (CV) and artificial intelligence (AI) - helping machines perceive, understand, and reason about the world around them. We are looking for a passionate and talented intern to join our research team. The ideal candidate is highly motivated with broad knowledge in CV/AI, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The intern will have the opportunity to work with a diverse group of researchers in the exploration of advanced techniques and contribute to the projects.

This candidate is expected to:


Conduct original research in computer vision, including but not limited to spatial intelligence and reasoning (e.g. 3D/4D scene understanding, reconstruction, embodied perception, vision-language models, multimodal generative modeling, etc.), from conceptualization through implementation and evaluation.
Identify state-of-the-art (SOTA) techniques, performing systematic literature reviews and benchmarking existing methods to inspire new ideas.
Conduct experimental studies and refine solutions based on qualitative evaluation and quantitative metrics.
Write research papers and publish findings in top-tier CV/ML conferences and journals.

Requirements:


Deep understanding of computer vision and machine learning fundamentals; experience with 3D vision, geometric reasoning, or embodied AI is a plus
Strong programming skills in Python and hands-on experience with frameworks such as PyTorch, etc.
Proven experience in conducting original research in computer vision, with at least one publication in a peer-reviewed journal or conference
Strong written and verbal communication skills, with the ability to contribute to academic publications and present research findings
Ability to work independently and collaborate effectively within a team
PhD student in Computer Science, Computer Vision, Machine Learning, or a related field

Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.

Employment Type: Intern