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Quant Jobs in California (NOW HIRING)

Quantitative Analyst

Los Angeles, CA · On-site

$100K - $115K/yr

The Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and ...

Quantitative Analyst

Los Angeles, CA · On-site

$100K - $115K/yr

The Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and ...

Quantitative Analyst

Los Angeles, CA · On-site

$100K - $115K/yr

Graduate DegreeThe Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk ...

Quantitative Researcher

San Jose, CA · On-site

$200K - $300K/yr

Advanced degree in a quantitative or technical discipline such as Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field. * Track record of impactful research and ability ...

We are seeking a Quantitative Research Analyst to join us in our Newport Beach, CA office to continue to build upon our expansive quantitative capabilities and help drive new initiatives in our ...

We are seeking a Quantitative Research Analyst to join us in our Newport Beach, CA office to continue to build upon our expansive quantitative capabilities and help drive new initiatives in our ...

Showing results 21-40

Quant information

See California salary details

$96.7K

$167.5K

$256.1K

How much do quant jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quant in California is $167,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What are the most commonly searched types of Quant jobs in California?

The most popular types of Quant jobs in California are:

What cities in California are hiring for Quant jobs?

Cities in California with the most Quant job openings:

Infographic showing various Quant job openings in California as of September 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $167,506 per year, or $80.5 per hour.

Quantitative Analyst

Los Angeles, CA • On-site

DOUBLELINE GROUP LP
Finance and Insurance • 201 - 500 employees

$100K - $115K/yr

Other

Posted 10 days ago


Job description

The Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and portfolio monitoring tools by supporting the investment teams. The Quantitative Analyst will present analysis to the investment team in a clear and concise manner. The ideal candidate should have a strong passion for quantitative research and insight generation.
Job Functions
  • Develop and maintain analytical solutions to scrutinize large data sets
  • Manage and improve tools for portfolio and risk management, counterparty exposures and market analysis
  • Conduct surveillance of investment positions and track evolving risk factors
  • Support portfolio managers by carrying out top-down and bottom-up research across multiple investment markets

  • Advanced degree in quantitative discipline preferred and 1+ years experience in the asset management industry
  • Excellent analytical skills and empirical research experience
  • Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language.
  • Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred.
  • Experience working with large datasets/databases
  • Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis]
  • Strong research skills, including ability to problem solve creatively
  • Ability to prioritize time and tasks effectively and meet deadlines
  • Ability to present analysis clearly and effectively

Base Salary Range
The estimated base salary range for this position is $100,000 - $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.