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Quantitative Researcher Jobs in California (NOW HIRING)

Quantitative Researcher

San Francisco, CA ยท 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 ...

Quantitative Researcher

Menlo Park, CA ยท On-site

$50 - $70/hr

Quantitative Researcher Location: Onsite in Redmond WA, or Burlingame, CA Duration: 12 months + potential to extend Compensation: $50 - $70/hr Work Requirements: US Citizen, GC Holders or Authorized ...

As a researcher you will work closely with traders and developers to analyze market data and trading strategies, and develop new ways to approach the market. You need to have a working skillset in ...

As a researcher you will work closely with traders and developers to analyze market data and trading strategies, and develop new ways to approach the market. You need to have a working skillset in ...

As a researcher you will work closely with traders and developers to analyze market data and trading strategies, and develop new ways to approach the market. You need to have a working skillset in ...

As a researcher you will work closely with traders and developers to analyze market data and trading strategies, and develop new ways to approach the market. You need to have a working skillset in ...

We are seeking a Quantitative Research Analyst / Desk Quant to join our front-office Commodities Analytics team in Newport Beach. The role will provide direct quantitative support to specialist ...

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Showing results 1-20

Quantitative Researcher information

See California salary details

$51.8K

$117.6K

$193.9K

How much do quantitative researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative researcher in California is $117,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.
What are the most commonly searched types of Quantitative Researcher jobs in California? The most popular types of Quantitative Researcher jobs in California are:
What are popular job titles related to Quantitative Researcher jobs in California? For Quantitative Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher jobs in California look for? The top searched job categories for Quantitative Researcher jobs in California are:
What cities in California are hiring for Quantitative Researcher jobs? Cities in California with the most Quantitative Researcher job openings:
What are popular job titles related to Quantitative Researcher jobs in CA? For Quantitative Researcher jobs in CA, the most frequently searched job titles are:
Infographic showing various Quantitative Researcher job openings in California as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $117,605 per year, or $56.5 per hour.

Dewiz - Quantitative Researcher

De Circle

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Dewiz is one of the core engineering teams within the Sky Ecosystem, building the infrastructure that powers one of DeFi's largest and most established protocols. The team works across protocol engineering, smart contracts, trading systems, and market infrastructure, developing products that process billions of dollars in on-chain liquidity while advancing the next generation of decentralized finance.
As the ecosystem continues to expand, we're looking for a Quantitative Researcher to help design the models and strategies that optimize execution, inventory management, and capital efficiency across both centralized and decentralized markets.
The Role
You'll work at the intersection of quantitative research, market microstructure, algorithmic trading, and DeFi, building models that directly influence how capital is allocated, liquidity is priced, and trades are executed.
Your research will improve execution quality, unlock new revenue opportunities, reduce risk, and shape the design of next-generation trading and liquidity infrastructure.
  • Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline.
  • Experience developing quantitative models for trading, market making, optimization, or financial markets.
  • Strong programming skills in Python, Rust, C++, or a similar language.
  • Solid understanding of probability, statistics, optimization, and market microstructure.
  • Curiosity about DeFi, digital assets, and decentralized market design.

Experience with market making, algorithmic trading, blockchain protocols, or MEV is a strong advantage, but not required.