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Quantitative Science Jobs in California (NOW HIRING)

deCircle

Dewiz - Quantitative Researcher

San Francisco, CA · On-site

$140 - $240/hr

Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline. * Experience developing quantitative models for trading ...

Goodfire

Research Scientist

San Francisco, CA · On-site

$200K - $400K/yr

PhD or equivalent experience in ML, computer science, or a quantitative science. * Deep familiarity with large models and a passion for understanding how they work. * Fluency in Python and ML ...

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Quantitative Science information

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.

What are popular job titles related to Quantitative Science jobs in California?

For Quantitative Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Quantitative Science jobs in California look for?

The top searched job categories for Quantitative Science jobs in California are:

Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Dewiz - Quantitative Researcher

deCircle

San Francisco, CA • On-site

$140 - $240/hr

Other

Re-posted 2 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.

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