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Quantitative Modeler Jobs in California (NOW HIRING)

Overview We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team. Responsibilities * Participate in developing and implementing credit risk models for the use of ...

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Quantitative Modeler information

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How much do quantitative modeler jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for quantitative modeler in California is $39.81, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $42.93 per hour, depending on experience, location, and employer.
Infographic showing various Quantitative Modeler 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 $82,797 per year, or $39.8 per hour.

Dewiz - Quantitative Researcher

De Circle

San Francisco, CA • On-site, Remote

Full-time

Posted 3 days ago

New


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.