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Quantitative Analytics Jobs in California (NOW HIRING)

Forge Global

Quantitative Researcher

San Francisco, CA · Hybrid

$170K - $220K/yr

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating originalresearch and building internal research & analytics ...

INSPYR Solutions

Quantitative Researcher

Menlo Park, CA · On-site

$50 - $70/hr

Quantitative Researcher Location: Onsite in Redmond WA, or Burlingame, CA Duration: 12 months ... analysis, and surveys, supplemented by qualitative methods as needed • Evaluate and iterate on ...

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All JobsQuantitative Analytics JobsQuantitative Analytics Jobs in California

Quantitative Analytics information

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$55.8K

$132.1K

$236.9K

How much do quantitative analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative analytics in California is $132,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $143,600.00 per year, depending on experience, location, and employer.

Is quantitative analytics a good career path?

Quantitative analytics is a strong career choice for individuals with skills in mathematics, statistics, and programming, often involving tools like Python, R, or SQL. It offers opportunities in finance, risk management, and data-driven decision making, with roles typically requiring analytical thinking and problem-solving abilities. The field is known for competitive salaries and demand for skilled professionals, especially in finance and technology sectors.

What is a quantitative analyst's salary?

A quantitative analyst's salary typically ranges from $70,000 to over $150,000 annually, depending on experience, location, and industry. Senior roles or those in major financial centers can earn significantly higher, often supplemented with bonuses and incentives. Strong skills in programming, statistics, and financial modeling are highly valued in this field.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

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 strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What is quantitative analytics salary?

The salary for a quantitative analyst typically ranges from $70,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those in financial hubs can earn higher, often exceeding $200,000 with bonuses and incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What are some common challenges faced by professionals in quantitative analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

What are popular job titles related to Quantitative Analytics jobs in California? For Quantitative Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Quantitative Analytics jobs in California look for? The top searched job categories for Quantitative Analytics jobs in California are:
What cities in California are hiring for Quantitative Analytics jobs? Cities in California with the most Quantitative Analytics job openings:
Quantitative Analytics jobs near you
Infographic showing various Quantitative Analytics job openings in California as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $132,124 per year, or $63.5 per hour.

Quantitative Researcher

Forge Global

San Francisco, CA • Hybrid

$170K - $220K/yr

Other

Re-posted 13 days ago

Job description

The Role:  

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating originalresearch and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge's Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork.  

Responsibilities:  

  • Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
  • Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
  • Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
  • Collaborate in the research and development of new models, data products, metrics, and insights  
  • Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
  • Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
  • Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
  • Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
  • Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:  

  • 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
  • Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
  • Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
  • Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge's response  
  • Exceptional attention to detail  
  • Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
  • Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

  • Professional writing experience 
  • Index management knowledge 
  • Experience building agentic workflows 

For residents of San Francisco/Bay Area, CA the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

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