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Quantitative Developer Jobs in Santa Clara, CA (NOW HIRING)

Ahuora

Quantitative Researcher

San Jose, CA · On-site

$200 - $300/hr

Advanced degree in a quantitative or technical discipline such as Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field. * Track record of impactful research and ability ...

1X Technologies AS

Biomechanics Researcher

San Carlos, CA · On-site

$200K - $250K/yr

Your Charter Define what human-level performance means in quantitative, engineering-relevant terms and translate those insights into specifications that guide the development of humanoid robots. You ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Santa Clara, CA

Quantitative Developer information

See Santa Clara, CA salary details

$115.1K

$199.3K

$304.8K

How much do quantitative developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative developer in Santa Clara, CA is $199,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,000.00 and $233,700.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

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

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

More about Quantitative Developer jobs

What are the most commonly searched types of Quantitative Developer jobs in Santa Clara, CA?

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For Quantitative Developer jobs in Santa Clara, CA, the most frequently searched job titles are:

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The top searched job categories for Quantitative Developer jobs in Santa Clara, CA are:

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Cities near Santa Clara, CA with the most Quantitative Developer job openings:

Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $199,336 per year, or $95.8 per hour.

Quantitative Developer, Economic Modeling - Contractor

Jupiter Intelligence, Inc.

San Mateo, CA • On-site, Remote

$50 - $60/hr

Contractor

Posted 4 days ago

Job description

About Us
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. We are led by pioneers in data, climate, and earth and ocean sciences, as well as technology, risk management, company building, and public policy. Our climate risk modeling solutions save lives and mitigate potentially catastrophic impacts inflicted by hurricanes, floods, heat waves, wildfires, drought, and other extreme weather events on homes, businesses, infrastructure, food and water supplies, and entire economies.
Jupiter is also committed to the world community. Through our Jupiter Promise initiative we provide services to under-resourced countries and communities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged to provide their expertise to various programs under the Jupiter Promise initiative.
Jupiter is bringing diversity to prepare a diverse planet for our changing climate. Jupiter was founded on the principle that with the right approaches and the right team, we can prepare Earth's economies to meet the challenges associated with climate change. The world is a diverse place; a diverse workforce in an inclusive environment is essential to meet our goals. We go forward together.
Join Jupiter's Product organization to help build the risk engine behind our economic modeling. Working directly with the Principal PM, for Economic & Financial Modeling, you will translate climate hazard data into actionable financial metrics like EBITDA impact, CapEx/OpEx, and credit risk.
This is an associate-level, development-focused contract role designed for someone with solid Python and data engineering skills alongside a foundation in economics or finance. You will spend your time building and scaling model infrastructure while expanding your financial domain knowledge on the job through direct mentorship.
What You Will Do
  • Build & Scale Pipelines: Write modular, well-tested Python code to move models from research prototypes into production pipelines across large company and asset datasets.
  • Support Model Research: Assist in prototyping statistical, econometric, and machine learning models (e.g., time-series analysis, regression) to project climate hazard impacts.
  • Data Engineering: Source, clean, and transform diverse financial, building, and hazard datasets, resolving missing data or anomalies.
  • Cross-Functional Collaboration: Partner with engineering, product, and client teams to document outputs and communicate analytical findings clearly.

What You Will Bring
  • Degree in a quantitative field (Computer Science, Finance, Economics, Statistics, or related discipline) or equivalent practical experience.
  • Effective Python coding skills with a focus on writing clean, production-quality code (rather than one-off scripts).
  • Foundational understanding of finance or economics and an eagerness to learn more.
  • Basics of data engineering (sourcing, transforming, cleaning data) and standard git workflows.
  • Ability to work both independently as well as collaboratively with multiple teams.

What Sets You Apart
  • Experience working with large datasets, Docker, cloud environments (AWS/GCP/Azure), or tools like pandas/Polars.
  • Coursework, projects, or practical exposure in financial modeling, credit risk, or physical climate risk.
  • Coursework or experience in financial engineering, credit risk, or quantitative modeling.

$50 - $60 an hour
At Jupiter we value transparency and have a compensation plan where your full-time rate will vary depending on your location and confirmed job-related skills and experience. For part-time roles, your compensation will be adjusted to reflect your hours. Base Pay is based on several factors including but not limited to education, work experience, certifications, etc.
When we say Jupiter Intelligence is an Equal Opportunity Employer, we are not just adding a legal addendum. Of course, we do not discriminate:
Jupiter Intelligence is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
In fact, we celebrate our differences as our strength and actively work to build an inclusive environment for all. If we can do anything to improve your application and interview process, please let us know!
Please also note: Successful candidates must be authorized to work in the US
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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