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Quantitative Science Jobs in California (NOW HIRING)

Socket.dev

Quantitative Meteorologist

El Segundo, CA · On-site

$130 - $190/hr

Our scientists and engineers collect proprietary observations, deliberately intervene in ... About the Role As a Quantitative Meteorologist, you will bridge atmospheric science, statistical ...

Franklin Templeton

Quantitative Developer

Pasadena, CA · On-site

$140K - $170K/yr

Degree in either Computer Science, Mathematics, Engineering or other quantitative discipline. Preferred Qualifications * Understanding of portfolio risk and scenario analysis * Experience working ...

Franklintempleton

Quantitative Developer

Pasadena, CA · Hybrid

$140K - $170K/yr

Degree in either Computer Science, Mathematics, Engineering or other quantitative discipline. Preferred Qualifications * Understanding of portfolio risk and scenario analysis * Experience working ...

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Quantitative Science information

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.

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

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

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

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

Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Member of Technical Staff (Forward Deployed)

Krew

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 20 days ago

Job description

This role is not eligible for visa sponsorship.

Krew is on a mission to transform credit-servicing with the industry’s most advanced AI credit-servicing agents.
We are backed by Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua), and strategic angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures).
We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain, the United Nations, UChicago, and Oxford engineers and researchers.
Our omnichannel agents are supporting >100,000 consumers on their pathways to financial wellness. And we're just getting started - our goal is to resolve more than $1 trillion in outstanding consumer delinquencies worldwide with an empathetic, human-centric approach to financial wellness.

Job Responsibilities:

  • Work alongside CxOs at leading NBFIs and FIs to deploy and integrate Krew's platform

  • Support with change management and PMO objectives

  • Develop software integrations with our partners

  • Ship user-facing features end-to-end (from data model to API to UI)

  • Collaborate closely with design, ops, and risk/compliance to ship safe, compliant features

  • Write tests, enforce code quality, and participate in design/review discussions

  • Help evolve our engineering standards and product development process

Minimum Qualifications:

  • Internship or full-time work experience in full-stack or backend engineering

  • Internship or full-time work experience in investment banking or consulting

  • BA/BS or MA/MS in Computer Science, Physics, Mathematics, or another quantitative science

  • Experience with backend development (Python, Go)

  • Strong code quality habits (testing, reviews, docs) and a product mindset

Preferred Qualifications:

  • Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory

  • Experience with LLM/AI-powered products, event-driven systems, or data pipelines

  • Experience at Palantir, tier-1 investment bank (Goldman Sachs, JP Morgan, or Morgan Stanley), or tier-1 consulting firm (McKinsey, BCG, or Bain)

  • Bonus points if you were an ex-founder

Compensation Range: $150K - $250K