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Quant Researcher Jobs in Berkeley, CA (NOW HIRING)

Mondo

Lead UX Researcher

San Francisco, CA · Remote

$60 - $80/hr

Design and execute qualitative and quantitative research studies. * Conduct generative, evaluative, moderated, and unmoderated research. * Analyze research findings and translate them into actionable ...

Geico

Senior UX Researcher

San Francisco, CA · Hybrid

Strong expertise in both qualitative and quantitative research methods, including usability testing ... surveys, interviews, usage analytics and ethnographic research * Experience designing and analyzing ...

Mondo

Lead UX Researcher

San Francisco, CA · Remote

$60 - $80/hr

Design and execute qualitative and quantitative research studies. * Conduct generative, evaluative, moderated, and unmoderated research. * Analyze research findings and translate them into actionable ...

Wikimedia Foundation

Lead UX Researcher

San Francisco, CA · On-site

$132 - $205/hr

The UX Research Team does qualitative and quantitative research to understand the experiences and needs of the humans who use and contribute to Wikipedia and the Wikimedia projects. This role is to ...

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally ...

Hired Recruiters

User Researcher

San Francisco, CA · On-site +1

Collect, analyze, and present quantitative and/or qualitative data to generate actionable strategic ... Adapt and innovate research practices to meet team needs under the tight timeframes of a rapidly ...

Hired Recruiters

User Researcher

San Francisco, CA · On-site

$160K - $180K/yr

Collect, analyze, and present quantitative and/or qualitative data to generate actionable strategic ... Adapt and innovate research practices to meet team needs under the tight timeframes of a rapidly ...

Gallup

Senior User Researcher

San Francisco, CA · On-site

$120K - $135K/yr

Experience partnering with quantitative researchers, analytics or data science teams preferred * Background in assessment, psychometrics, learning sciences or related research domains preferred

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Showing results 21-40

All JobsQuant Researcher JobsQuant Researcher Jobs in Berkeley, CA

Quant Researcher information

See Berkeley, CA salary details

$64.3K

$145.9K

$240.6K

How much do quant researcher jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quant researcher in Berkeley, CA is $145,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $186,700.00 per year, depending on experience, location, and employer.

What does a quant researcher do?

A Quant Researcher develops mathematical models and algorithms to analyze financial markets, identify trading opportunities, and optimize investment strategies. They use statistical techniques, programming skills, and financial knowledge to extract insights from large datasets. Common responsibilities include backtesting strategies, implementing machine learning models, and collaborating with traders and developers. Most Quant Researchers have strong backgrounds in mathematics, statistics, computer science, or physics.

What does a typical day look like for a quant researcher, and how do they interact with other teams?

A typical day for a Quant Researcher often involves designing, coding, and testing quantitative models to analyze financial markets or strategies, as well as interpreting large datasets to extract actionable insights. You might spend time collaborating with traders, portfolio managers, or software engineers to refine trading algorithms or improve risk models. Frequent meetings and brainstorming sessions are common, as sharing ideas is key to innovation and solving complex problems. This close teamwork fosters a dynamic, intellectually stimulating environment and helps ensure that quantitative insights are effectively integrated into business decisions.

What are the key skills and qualifications needed to thrive as a quant researcher, and why are they important?

To thrive as a Quant Researcher, you need a strong background in advanced mathematics, statistics, and programming, often supported by a graduate degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in technical tools such as Python, R, MATLAB, and familiarity with data analysis platforms and financial modeling libraries is typically required. Critical thinking, problem-solving abilities, and effective communication are important soft skills that help you convey complex quantitative findings to both technical and non-technical stakeholders. These skills enable Quant Researchers to develop robust financial models, optimize strategies, and contribute to data-driven decision-making in competitive finance environments.

Are quant researchers in demand?

Quant researchers are in high demand in finance, technology, and hedge funds due to their expertise in data analysis, statistical modeling, and programming skills. The role often requires proficiency in languages like Python or R and knowledge of financial markets, with employment prospects remaining strong as data-driven decision-making grows in importance.

How much money does a quant researcher make?

A quant researcher typically earns a salary ranging from $80,000 to over $200,000 annually, depending on experience, location, and the firm. Senior roles or those with advanced skills in programming and statistical analysis can earn higher compensation, often supplemented with bonuses and incentives.

What is the job of a quant researcher?

A quant researcher develops mathematical models and algorithms to analyze financial data and identify trading opportunities. They use programming skills and statistical techniques to inform investment strategies and often work in finance or hedge funds. Strong analytical skills and proficiency in tools like Python or R are essential for this role.

What are popular job titles related to Quant Researcher jobs in Berkeley, CA?

For Quant Researcher jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Quant Researcher jobs in Berkeley, CA look for?

The top searched job categories for Quant Researcher jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Quant Researcher jobs?

Cities near Berkeley, CA with the most Quant Researcher job openings:

Quant Researcher jobs near you
Infographic showing various Quant Researcher job openings in Berkeley, CA as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,911 per year, or $70.1 per hour.

Research Scientist, Quantitative Growth Research

Meta

Menlo Park, CA • On-site

$147K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a Research Scientist to join the Quantitative Growth Research team, where you will apply rigorous quantitative methods to understand user behavior, product adoption, and growth dynamics across Meta's family of apps and services. In this role, you will design and execute large-scale studies, develop causal inference frameworks, and translate complex behavioral data into actionable insights that shape product strategy and drive sustainable growth. You will partner closely with product, engineering, and data science teams to define research agendas that directly influence how billions of people discover and engage with Meta's products.
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:
  • PhD in a quantitative field such as economics, statistics, psychology, computational social science, or a related discipline
  • 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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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.

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