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Junior Algorithmic Trading Quant Jobs in California

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

... algorithms, risk models, and player behavior systems. The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and ...

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

... algorithms, risk models, and player behavior systems. The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and ...

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly ...

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly ...

... other top quantitative firms. We're looking for a midlevel or senior IC to join our core ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

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Junior Algorithmic Trading Quant information

What is the difference between Junior Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectJunior Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in CS, Math, or Finance; programming skillsBachelor's or higher in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, prop shopsResearch departments, financial institutions, hedge funds
Employer & Industry UsageCommon in trading firms focusing on algorithmic strategiesUsed across finance sectors for model development
Comparison Search IntentYesYes

The Junior Algorithmic Trading Quant typically focuses on developing and implementing trading algorithms within trading firms, often working closely with traders. In contrast, a Quantitative Research Analyst conducts broader research to develop financial models and strategies, which may be used for trading or risk management. Both roles require strong quantitative skills and programming knowledge, but their primary focus and work environment differ slightly.

What are the most commonly searched types of Algorithmic Trading Quant jobs in California? The most popular types of Algorithmic Trading Quant jobs in California are:
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What cities in California are hiring for Junior Algorithmic Trading Quant jobs? Cities in California with the most Junior Algorithmic Trading Quant job openings:

Dewiz - Quantitative Researcher

De Circle

San Francisco, CA • On-site, Remote

Full-time

Posted 4 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.