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Quantitative Engineer Jobs in California (NOW HIRING)

Jobtailor

Quantitative Developer

San Francisco, CA · On-site

$180 - $280/hr

About The Role We're hiring a Quantitative Developer to help turn research ideas into production‑grade code. You'll help build data pipelines, implement models and ensure results are clean ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production-grade code. You'll help build data pipelines, implement models and ensure results are clean ...

Franklintempleton

Quantitative Developer

Pasadena, CA · Hybrid

$140K - $170K/yr

Role Summary Franklin Templeton is seeking a Quantitative Developer with experience in portfolio risk to build, enhance, and support systems to support customized investment solutions for clients.

Franklin Templeton

Quantitative Developer

Pasadena, CA · On-site

$140K - $170K/yr

Role Summary Franklin Templeton is seeking a Quantitative Developer with experience in portfolio risk to build, enhance, and support systems to support customized investment solutions for clients.

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA

Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

$165 - $240/hr

... physics, engineering, computer science or another highly quantitative discipline; PhD preferred2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

We are seeking a Quantitative Research Analyst / Desk Quant to join our front-office Commodities ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

We are seeking a Quantitative Research Analyst / Desk Quant to join our front-office Commodities ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

Strong programming skills and numerical problem-solving techniques; proficiency with Python with a preference for experience with high frequency data * Excellent analytical and quantitative skills ...

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Showing results 1-20

All JobsQuantitative Engineer JobsQuantitative Engineer Jobs in California

Quantitative Engineer information

See California salary details

$37.5K

$89.4K

$148.5K

How much do quantitative engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for quantitative engineer in California is $89,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $98,700.00 per year, depending on experience, location, and employer.

What is a quantitative engineer?

Quantitative Engineers, often called 'quants', are professionals who apply advanced mathematical, statistical, and programming skills to solve complex problems in finance, technology, or research. They develop models and algorithms to analyze data, assess risk, and inform decision-making, particularly in areas like trading, asset management, and financial engineering. Their work often involves programming in languages such as Python, C++, or R, and requires a strong background in mathematics and computer science. Quantitative Engineers play a crucial role in optimizing processes and strategies using quantitative methods.

What are the key skills and qualifications needed to thrive as a quantitative engineer, and why are they important?

To thrive as a Quantitative Engineer, you need a strong background in mathematics, statistics, and computer science, typically with a degree in a quantitative field such as math, physics, or engineering. Familiarity with programming languages like Python, C++, and tools such as MATLAB, as well as experience with data analysis frameworks, is essential. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly set top performers apart. These skills are crucial for developing robust quantitative models and algorithms that drive informed financial or technical decision-making.

How do quantitative engineers typically collaborate with traders and software developers in a financial firm?

Quantitative Engineers often work closely with traders to understand their strategies and translate them into mathematical models or algorithms. They also partner with software developers to ensure these models are efficiently implemented in trading platforms, balancing performance and accuracy. Regular communication and joint problem-solving are essential, as the role requires aligning complex quantitative methods with practical trading objectives and robust technical solutions.

What is the difference between Quantitative Engineer vs Quantitative Analyst?

AspectQuantitative EngineerQuantitative Analyst
CredentialsDegree in Math, Finance, or Engineering; often requires programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentDevelops models, writes code, collaborates with tech teamsAnalyzes data, creates reports, supports trading strategies
Industry UsageFinancial firms, hedge funds, investment banksAsset management, investment firms, banks

While both roles involve quantitative skills, Quantitative Engineers focus on developing and implementing models and algorithms, often requiring programming expertise. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in technical depth and focus.

What do quantitative engineers do?

Quantitative engineers develop mathematical models and algorithms to analyze financial data, manage risk, and inform trading strategies. They often use programming languages like Python or C++ and work closely with traders and analysts in finance or technology firms. Strong skills in mathematics, statistics, and programming are essential for this role.

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

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

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

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

What cities in California are hiring for Quantitative Engineer jobs?

Cities in California with the most Quantitative Engineer job openings:

Quantitative Engineer jobs near you
Infographic showing various Quantitative Engineer job openings in California as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $89,353 per year, or $43 per hour.

Quantitative Engineer (Private Markets)

San Francisco, CA • On-site

Australia-Employment
See more jobs at Australia-Employmentexternal

$300 - $360/hr

Other

This job post has expired 7 days ago. Applications are no longer accepted.

Job description

Quantitative Engineer (Private Markets)

Compensation: $300,000 – $360,000 + Equity (based on experience) | Location: San Francisco, CA | Employment Type: Permanent | Work Model: On-site (4 days per week).

Company Overview

We are an elite, well-funded fintech startup building the foundational data, pricing and transaction infrastructure for the global private markets. Backed by a $16M Series A from the world’s largest asset managers and investment banks, our platform tracks over $300B in proprietary transaction data and $4T in funding signals for 100,000+ companies.

Why Join Us
  • Competitive base salary
  • Extremely competitive benefits
  • Flexible work schedules
  • Accelerated career growth
Responsibilities
  • Build, maintain, and continuously improve complex pricing and valuation models for illiquid private‑market assets.
  • Identify, test, and integrate new financial features and data signals to drive model accuracy.
  • Develop and optimize scalable production data pipelines that support machine learning models and client‑facing products.
  • Experiment with large language models (LLMs) to automate and scale data ingestion, entity classification, and automated quality assurance.
  • Analyze massive proprietary datasets to deliver clear insights and participate in client advisory conversations to explain methodology directly to sophisticated financial clients.
  • Collaborate closely with a tight‑knit engineering team to shape technical architecture and product roadmap.
Qualifications
  • Previous quantitative experience at a trading desk, hedge fund, investment bank, or a similarly rigorous, data‑driven financial environment.
  • Strong background in statistics, applied mathematics, financial modeling, machine learning, or quantitative research.
  • Robust programming skills with hands‑on experience building and maintaining production‑grade data pipelines.
  • Ability to articulate complex technical methodologies and modeling choices clearly to sophisticated financial clients.
  • Degree in Data Science, Mathematics, Statistics, Computer Science, Financial Engineering, or a closely related field (Master’s or PhD strongly preferred).
  • Must be based in or willing to relocate to San Francisco; on‑site in the office four days per week.
Location

San Francisco, CA – In‑Office 4 Days per Week.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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