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Quantitative Analyst Jobs in Santa Rosa, CA (NOW HIRING)

Buck Institute

Postdoctoral Researcher - Zhou lab

Novato, CA · On-site

$73K - $81K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will use a combination of cell biology, advanced imaging, quantitative analysis, genetics, and mechanistic perturbation approaches to uncover how mitochondria-lysosome ...

First American

Marketing Analyst

Santa Rosa, CA

$73K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience supporting product strategy or go-to-market decisions through quantitative analysis. * Working knowledge of statistical methods, forecasting, or predictive modeling. Success in This Role ...

Zynga

Business Operations Analyst

Bodega Bay, CA

$78K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview Zynga is looking for an ambitious analyst to join our world-class advertising ... Bachelor's degree in a quantitative field * At least 2 years of experience in a data-intensive role

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

  • Medical

  • Retirement

  • PTO

Bachelor's degree in Finance, Accounting, or related field, with an emphasis in quantitative methods, statistical modeling, and data science. * 3+ years of experience in financial analysis, business ...

BoxPower

FP&A Director

Bodega Bay, CA · On-site +1

Preparethe capital allocation framework and lead strategic option analysis for major business decisions * Assist theM&A diligence, build-vs-buy analysis, and pricing strategy work as the quantitative ...

Buck Institute

Postdoctoral Researcher - Zhou Lab

Novato, CA · On-site

$73K - $81K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ability to design and execute experiments, analyze quantitative data, and troubleshoot independently. * Ability to work collaboratively in a multidisciplinary environment and communicate effectively ...

Apple

Wireless Radio Systems Engineer

Bodega Bay, CA

$129K - $225K/yr

  • Medical

  • Dental

  • Retirement

Evaluate radio performance in different scenarios by quantitative analysis and link simulation. Work with radio designers to come up with state-of-art radio architecture. Collaborate with digital ...

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All JobsQuantitative Analyst JobsQuantitative Analyst Jobs in Santa Rosa, CA

Quantitative Analyst information

See Santa Rosa, CA salary details

$61.8K

$146.4K

$262.4K

How much do quantitative analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative analyst in Santa Rosa, CA is $146,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $159,100.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.
More about Quantitative Analyst jobs

What job categories do people searching Quantitative Analyst jobs in Santa Rosa, CA look for?

The top searched job categories for Quantitative Analyst jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Quantitative Analyst jobs?

Cities near Santa Rosa, CA with the most Quantitative Analyst job openings:

Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, and 15% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $146,372 per year, or $70.4 per hour.

Postdoctoral Researcher - Zhou lab

Buck Institute for Research on Aging

Novato, CA • On-site

$73K - $81K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Mitochondria Lysome Function and Aging Research
Position Summary
The Buck Institute for Research on Aging is seeking a highly motivated Postdoctoral Researcher to investigate mitochondria-lysosome crosstalk in the context of aging and cellular senescence. This position will focus on understanding how communication between mitochondria and lysosomes regulates organelle function, cellular homeostasis, and age-associated decline.
The successful candidate will use a combination of cell biology, advanced imaging, quantitative analysis, genetics, and mechanistic perturbation approaches to uncover how mitochondria-lysosome interactions contribute to organelle and cellular dysfunction associated with hallmarks of aging. The project will also explore new strategies to restore organelle communication and intervene in aging-associated phenotypes in the context of both normal aging and age-related diseases.
The candidate will join a highly collaborative and multidisciplinary team that integrates biology, biophysics, imaging, quantitative analysis, computational biology, and artificial intelligence. This environment provides strong opportunities to combine experimental discovery with quantitative and computational approaches, particularly through high-content imaging, automated microscopy, and large-scale image analysis.
About the Zhou Lab
The Zhou Lab is an intentionally multidisciplinary research group that uses model systems ranging from budding yeast and cultured human cells to animal models to study fundamental mechanisms of aging. Our team brings together researchers from cell biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. We view this cross-disciplinary environment as a major strength, creating opportunities for shared learning, creative problem-solving, and discoveries that would be difficult to achieve within a single field alone.
Our lab uses a diverse range of cutting-edge approaches, including super-resolution imaging, high-throughput screening, cryo-EM, simulations, genetics, and machine learning. Current research areas include systems biology of aging, organelle communication, and proteome plasticity.
Recently, the lab has built automated research pipelines that combine liquid-handling robotics, high-throughput cell manipulation, automated super-resolution microscopy, and machine-learning-based image analysis. These platforms enable large-scale imaging and quantitative analysis of molecular and cellular aging phenotypes.
We are looking for candidates who are passionate about uncovering basic principles of molecular and cellular biology and who are excited to work at the interface of organelle biology, aging research, advanced imaging, and quantitative analysis.
Recent Publications
  1. Yoo S, et al. The Spatiotemporal Proteome Landscape of Aging: Structural determinants of age-sensitive proteome remodeling. bioRxiv [Preprint]. 2026 March 1. DOI: 10.64898/2026.02.26.708310
  2. Liu, Q., et al. Mitochondria-vacuole coupling contributes to vacuolar acidification and aging. In press, Molecular Cell
  3. Zheng, F., et al., Metabolic Environment-Driven Remodeling of Mitochondrial Ribosomes Regulates Translation and Biogenesis. Molecular Cell 2025 Nov 6:S1097-2765(25)00853-6.
  4. Liu, Q., et al. Nascent mitochondrial proteins initiate the localized condensation of cytosolic protein aggregates on the mitochondrial surface. Proc Natl Acad Sci USA. 2023 Aug; 120(31) e2300475120
Required Qualifications
  • PhD in cell biology or related field
  • Track record of first-author publications in related field
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Compensation & Benefits
  • $73,760 - $81,440 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • A curriculum vitae or resume,
  • A cover letter addressing your past research experience, plans, and expectations for working in the lab
  • Any relevant publications, projects, or code.

Apply