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

Matthews Asia

India Research Analyst

Santa Rosa, CA

The role involves developing actionable investment insights through rigorous qualitative and quantitative analysis and contributing directly to investment decisions within Matthews' India-focused ...

Matthews Asia

India Research Analyst

Sonoma, CA

The role involves developing actionable investment insights through rigorous qualitative and quantitative analysis and contributing directly to investment decisions within Matthews' India-focused ...

Zynga

Business Operations Analyst

Bodega Bay, CA

$78K - $116K/yr

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

Block

Senior Credit Risk Analyst

Bodega Bay, CA · On-site

Bachelor's degree preferably in a business or quantitative field * 5+ years of prior credit risk ... Strong interpersonal, analytical, verbal and written communication skills Technologies We Use and ...

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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 Jun 13, 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 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.

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.

Is 30 too late to become a quant?

Quantitative analysts typically have backgrounds in mathematics, finance, or computer science, and many start their careers in their 20s or 30s. While most entry-level roles favor candidates with relevant degrees and experience, it is possible to transition into the field at 30 by acquiring necessary skills such as programming and statistical analysis, often through advanced degrees or certifications like CFA or CQF. Age is less of a barrier than relevant skills and experience in this competitive industry.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms or hedge funds, making it a lucrative career option.

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 are Quantitative Analysts?

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.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and finance, and candidates often hold advanced degrees in related fields. The firm values technical expertise and experience with tools like Python, R, or MATLAB.

What job makes $10,000 a month without a degree?

A quantitative analyst typically requires a degree, but some related roles like freelance traders, real estate investors, or sales professionals in high-commission industries can earn $10,000 or more monthly without formal degrees. Success in these fields often depends on skills, experience, and market knowledge rather than formal education.

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.

More about Quantitative Analyst jobs
What are popular job titles related to Quantitative Analyst jobs in Santa Rosa, CA? For Quantitative Analyst jobs in Santa Rosa, CA, the most frequently searched job titles are:
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
Research & Insights Analyst

Research & Insights Analyst

Zenni Optical

Novato, CA • Remote

$300/day

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

Job description

About the Role

Zenni's Research Team is looking for a Research & Insights Analyst to be the team's dedicated analytical specialist. You will own the quantitative methods, statistical rigor, and data-driven insights that inform decision-making across the organization - from audience strategy to product development and marketing. This role reports to the Sr. Director, Product Marketing & Research and partners cross-functionally with Data Engineering, AI/ML, Marketing, Product, Brand, Merchandising, CRM, and the Executive Team.

If based in the Bay Area, this role requires occasional in-office presence.

Responsibilities

  • Conduct quantitative consumer research, e.g., design surveys, AB testing, develop sampling strategies, and conduct statistical analyses that drive strategic decisions
  • Own audience segmentation and persona development, including data modeling, behavioral clustering, and ongoing validation
  • Conduct pricing, revenue, and product performance analytics to highlight opportunities for growth
  • Translate and present complex data into clear, actionable insights and recommendations for both technical and non-technical stakeholders
  • Serve as the team's methodological authority on all quantitative research, ensuring rigor, validity, and reproducibility
  • Collaborate with Data Engineering, AI/ML, Paid Marketing and Finance to connect research insights with internal datasets to identify research topics
  • Contribute to the team's research roadmap and support cross-functional ad hoc requests

Basic Qualifications 

  • 4-7 years of experience in quantitative research, consumer insights, market research, or applied analytics
  • Strong foundation in statistical methods (e.g., hypothesis testing, regression, cluster analysis, bootstrapping, effect size measurement)
  • Proficiency with survey platforms (e.g., Qualtrics) and statistical tools (e.g., R, Python, SPSS)
  • Ability to communicate quantitative findings clearly to non-technical audiences
  • Bachelor's degree in a quantitative discipline; Master's or PhD preferred

Preferred Qualifications 

  • Experience with audience segmentation or persona development at scale
  • Familiarity with pricing research methodologies (e.g., conjoint, Van Westendorp)
  • Background in e-commerce, DTC, retail, or consumer products
  • Experience with digital analytics platforms (e.g., ContentSquare, Google Analytics)
  • Bay Area-based candidates are preferred!
U.S. Perks & Benefits:
  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • 401(k) with up to 4% match
  • Comprehensive wellbeing programs (mental, physical, emotional support)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • FTO (Flex Time Off) in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
  • Family forming & fertility support and services through Maven
  • Annual Zenni Gift Card - to use towards our products!
Compensation

In addition to other forms of compensation, such as perks and benefits, the estimated salary range for this role is $108,600 - $135,700 for candidates outside of California. For California-based candidates, the estimated salary range is $119,460 - $149,270. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

(U.S. ONLY) Please note: While we prefer Bay Area-based candidates, we are registered in some, but not all, states. If you are located full-time in one of the following states, we welcome you to apply: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Iowa, Kansas, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Texas, Utah, Virginia.
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