Quantitative Research Analyst Jobs in California
Quantitative Research Analyst jobs in California rank among the most active in the country, concentrated in finance, technology, and biotech across San Francisco, Los Angeles, and San Diego, with openings from entry-level analyst positions through senior quantitative researcher roles. Major employers with lasting California footprints include BlackRock, Wells Fargo, and NVIDIA, all of which maintain quantitative research teams in the state. The most in-demand specialties are algorithmic trading, risk modeling, and machine learning-driven portfolio analysis. Find a role that fits below and apply directly.
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Showing 5 of 20+ Quantitative Research Analyst jobs
Research Scientist, Quantitative Growth Research Responsibilities:
- Design and execute quantitative research studies — including surveys, behavioral data analyses, and observational studies — to understand user acquisition, retention, and engagement patterns across Meta's products
- Develop and apply causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity) to evaluate the impact of product changes on growth outcomes
- Build and validate measurement frameworks that connect user behavior signals to long-term growth and retention metrics
- Collaborate with product managers, engineers, and data scientists to translate research findings into product strategy and roadmap decisions
- Identify gaps in existing measurement approaches and design novel methodologies to address them, adapting established frameworks to new growth research challenges
- Communicate complex quantitative findings to technical and non-technical stakeholders through written reports, presentations, and data visualizations
- Contribute to team-level research goals by identifying high-priority growth questions and scoping research projects with clear short, mid, and long-term deliverables
- Leverage AI-integrated workflows and analytical tools to accelerate research design, data processing, and insight generation
- Advise cross-functional partners on appropriate research methods, statistical interpretation, and the limitations of quantitative findings in the context of growth decisions
Minimum Qualifications:
- Experience conducting quantitative research using methods such as experimentation, causal inference, survey research, or large-scale behavioral data analysis
- Experience applying statistical modeling techniques (e.g., regression, survival analysis, Bayesian methods, causal inference) to real-world product or growth research questions
- Experience translating quantitative research findings into product or business recommendations for cross-functional stakeholders
- Experience working with large-scale datasets using programming languages such as Python, R, or SQL
- Experience scoping and delivering independent research projects from problem definition through insight communication
Preferred Qualifications:
- Familiarity with survey methodology, including questionnaire design, sampling strategies, and measurement validity in the context of user research
- Experience designing and analyzing large-scale experiments (A/B tests or quasi-experiments) in a consumer technology or growth context
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Track record of publishing or presenting quantitative research findings in peer-reviewed venues or applied research settings
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Scientist, Quantitative Growth Research Responsibilities:
- Design and execute quantitative research studies — including surveys, behavioral data analyses, and observational studies — to understand user acquisition, retention, and engagement patterns across Meta's products
- Develop and apply causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity) to evaluate the impact of product changes on growth outcomes
- Build and validate measurement frameworks that connect user behavior signals to long-term growth and retention metrics
- Collaborate with product managers, engineers, and data scientists to translate research findings into product strategy and roadmap decisions
- Identify gaps in existing measurement approaches and design novel methodologies to address them, adapting established frameworks to new growth research challenges
- Communicate complex quantitative findings to technical and non-technical stakeholders through written reports, presentations, and data visualizations
- Contribute to team-level research goals by identifying high-priority growth questions and scoping research projects with clear short, mid, and long-term deliverables
- Leverage AI-integrated workflows and analytical tools to accelerate research design, data processing, and insight generation
- Advise cross-functional partners on appropriate research methods, statistical interpretation, and the limitations of quantitative findings in the context of growth decisions
Minimum Qualifications:
- Experience conducting quantitative research using methods such as experimentation, causal inference, survey research, or large-scale behavioral data analysis
- Experience applying statistical modeling techniques (e.g., regression, survival analysis, Bayesian methods, causal inference) to real-world product or growth research questions
- Experience translating quantitative research findings into product or business recommendations for cross-functional stakeholders
- Experience working with large-scale datasets using programming languages such as Python, R, or SQL
- Experience scoping and delivering independent research projects from problem definition through insight communication
Preferred Qualifications:
- Familiarity with survey methodology, including questionnaire design, sampling strategies, and measurement validity in the context of user research
- Experience designing and analyzing large-scale experiments (A/B tests or quasi-experiments) in a consumer technology or growth context
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Track record of publishing or presenting quantitative research findings in peer-reviewed venues or applied research settings
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 20 Quantitative Research Analyst Jobs in California
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Find JobsQuantitative Research Analyst Jobs by City in California
Where California roles are concentrated, by current openings.
Quantitative Research Analyst Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Construction & Real Estate
- Banking & Financial Services
What California Employers Look For
The qualifications that appear most often in quantitative research analyst jobs across California.
- Master's or PhD in mathematics, statistics, financial engineering, or a related quantitative field
- Proficiency in Python, R, or MATLAB for statistical modeling and data analysis
- Experience building and validating quantitative models in finance, risk, or research settings
- Strong command of probability theory, stochastic calculus, and time-series analysis
- Ability to work with large datasets using SQL or distributed computing frameworks such as Spark
- Familiarity with California-based regulatory environments including SEC reporting and risk disclosure standards
Quantitative Research Analyst Jobs in California: Frequently Asked Questions
How do you become a quantitative research analyst in California?
The path into quantitative research analysis in California typically begins with a bachelor's degree in mathematics, statistics, economics, or computer science, though most competitive roles at California's finance and tech firms require a master's or PhD. California does not issue a state-specific license for this role, but many practitioners pursue the CFA designation through the CFA Institute, which California employers widely recognize. Building a portfolio of modeling projects or contributing to open-source research strengthens candidacy significantly.
How much do quantitative research analysts make in California?
Quantitative research analysts in California earn a median of about $80,810 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $49,160 for the lowest 10% to over $163,120 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire quantitative research analysts in California?
Employers hiring quantitative research analysts in California right now include Google, Meta, and PIMCO, based on current listings on Migrate Mate as of August 2026. California's concentration of hedge funds, asset managers, and technology companies with quantitative divisions makes it one of the deepest hiring markets for this specialty in the United States.
Which California cities have the most quantitative research analyst jobs?
Mountain View, Newport Beach, and San Francisco account for the most quantitative research analyst openings in California. San Francisco's density of hedge funds, fintech firms, and technology companies with research divisions drives the largest share of postings, while Los Angeles attracts openings from asset managers and entertainment-adjacent analytics groups, and San Diego's biotech and defense research sector generates a consistent stream of quantitative analyst demand.
Are there remote quantitative research analyst jobs in California?
Yes, and more than most fields. About 33% of quantitative research analyst openings tied to California are remote or hybrid as of August 2026, reflecting how fully the work is conducted on computing infrastructure rather than physical locations. Modeling, backtesting, and research roles are the most remote-friendly, while positions involving direct collaboration with trading desks or portfolio managers more often require in-office presence.
How can I get hired as a quantitative research analyst in California with little or no experience?
The most realistic entry path is a quantitative internship or new-graduate research program at a California-based asset manager, technology firm, or bank. Large California employers including Wells Fargo and BlackRock run structured analyst programs that accept recent graduates with strong academic records in mathematics or statistics. Candidates with no industry experience can also transition from adjacent roles such as data scientist, statistician, or financial analyst, particularly if they hold or are pursuing a CFA designation or have published independent modeling work.
Where can I find and apply to quantitative research analyst jobs in California?
You can find and apply to quantitative research analyst jobs in California on Migrate Mate, which lists current California openings across finance, technology, and research sectors. Find roles that match your background and apply directly to the employers posting them.
See All 20 Quantitative Research Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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