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Quant 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 ...

Databento

Quantitative Sales Associate

San Francisco, CA · On-site +1

Experience with quant trading and market microstructure. * Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot. * Professional communication skills ...

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.

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Showing results 41-60

All JobsQuant JobsQuant Jobs in California

Quant information

See California salary details

$96.7K

$167.5K

$256.1K

How much do quant jobs pay per year?

As of Aug 28, 2026, the average yearly pay for quant in California is $167,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.
More about Quant jobs

What are the most commonly searched types of Quant jobs in California?

The most popular types of Quant jobs in California are:

What are popular job titles related to Quant jobs in California?

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

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

The top searched job categories for Quant jobs in California are:

What cities in California are hiring for Quant jobs?

Cities in California with the most Quant job openings:

Quant jobs near you
Infographic showing various Quant job openings in California as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $167,506 per year, or $80.5 per hour.

Quantitative Developer

Jobtailor

San Francisco, CA • On-site

$180 - $280/hr

Other

Medical, Dental, Vision

Posted 22 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.

Compensation Range: $180K – $280K

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