ZipRecruiter

Log In

1

Quantitative Engineer Jobs in California (NOW HIRING)

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 ...

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.

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.

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA · On-site

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

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 ...

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 ...

East West Bank

Senior Quantitative Analyst

Pasadena, CA · On-site

$100K/yr

Overview We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team ... Proficiency with R or similar programming language. Proficiency with Microsoft Office tools.

Forge Global

Quantitative Researcher

San Francisco, CA · Hybrid

$170K - $220K/yr

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In ... Utilize strong programming and data science skills to conduct unique research in support of our ...

next page

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 5, 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.

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 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.

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 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 July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $89,353 per year, or $43 per hour.

Quantitative Developer

Poesis

San Francisco, CA • On-site

$180K - $280K/yr

Full-time

Medical, Dental, Vision

Re-posted 18 days ago

Job description

About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.
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, reproducible and explainable. You'll work alongside Poesis' Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making.
Responsibilities
  • Rapidly implement and iterate on research ideas and model prototypes.
  • Clean, process, and join financial and fundamental datasets from professional and public sources.
  • Build and maintain processes for feature generation, back-testing, and model evaluation.
  • Run experiments, summarize results, and report findings to leadership.
  • Contribute to code quality: testing, documentation, and integration into shared systems.
  • Support the team in defining data schemas, APIs, and reproducibility standards.
  • Implement, test, and refine models, signals, and analytical workflows.
  • Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability.

Required Competencies
  • 3+ years of professional experience building the model infrastructure, data pipelines, and analytical tools to drive trading strategies
  • Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL.
  • Skill working with Claude Code, Codex, or other coding agents.
  • Proficiency working with real-world financial datasets and building reproducible analyses or pipelines.
  • Understanding of statistics, regression, optimization, and ML fundamentals.
  • Clear communicator who can explain technical findings to non-specialists.
  • BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field.

Preferred Competencies
  • Prior full-time experience in finance, data science, or ML engineering.
  • Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv.
  • Exposure to portfolio optimization, risk modeling, or financial time-series.
  • Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.).
  • Early-stage startup experience or demonstrated builder mindset.

Location
Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
Benefits
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Working at Poesis
As an early team member, you'll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You'll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.

Apply