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Quantitative Science Jobs in California (NOW HIRING)

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 ...

INSPYR Solutions

Quantitative Researcher

Menlo Park, CA · On-site

$50 - $70/hr

Quantitative Researcher Location: Onsite in Redmond WA, or Burlingame, CA Duration: 12 months ... and Hearing Sciences, Neuroscience, or a related UX field • 2+ years experience conducting ...

Goodfire

Research Scientist

San Francisco, CA

$200K - $400K/yr

PhD or equivalent experience in ML, computer science, or a quantitative science. * Deep familiarity with large models and a passion for understanding how they work. * Fluency in Python and ML ...

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 does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming tools to solve complex problems. They often work in finance, research, or technology sectors, developing algorithms and predictive models to inform decision-making.

What is a Quantitative Science job?

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 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.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts, often referred to as quants, for roles in trading, risk management, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often hold advanced degrees in quantitative fields. The firm offers opportunities for quants to work with sophisticated models and tools like Python, R, and MATLAB.

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 careers use quantitative research?

Quantitative science careers include roles such as data analyst, quantitative analyst, financial analyst, research scientist, and data scientist. These positions involve analyzing numerical data, developing models, and using tools like statistical software and programming languages such as Python or R to inform decision-making across industries like finance, healthcare, technology, and academia.

What are some quant jobs?

Quantitative science jobs include roles such as quantitative analyst, data scientist, quantitative researcher, risk analyst, and algorithm developer. These positions typically require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB. They are common in finance, technology, and research institutions.
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 July 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.
Quantitative Fixed Income Researcher

Quantitative Fixed Income Researcher

The TCW Group

Los Angeles, CA • On-site

$150K - $175K/yr

Full-time

Re-posted 15 days ago

Job description

Position Summary
TCW Quantitative Research Team develops models, algorithms, and tools used to drive and support systematic and fundamental investment strategies. The team supports investment teams and traders across all asset classes to integrate data-driven insights and quantitative techniques into the investment process.
The Quantitative Fixed Income Researcher role is highly collaborative, working closely with senior quantitative researchers, the head of quantitative research to design, test, and implement models and investment strategies. By analyzing a diverse range of financial and economic data, the researcher leverages statistical, machine learning, and econometric techniques to enhance our investment process. The role partners closely with fixed-income investment teams to support investment thesis development and enhance alpha generation, while clearly communicating research findings to a wide range of stakeholders and staying current on relevant academic literature and market developments.
Essential Duties
  • Lead quantitative research on fixed-income products in private and public markets.
  • Thought partner to PMs and integrate research outputs into investment process
  • Enhance fixed-income aspects of TCW's multi-asset, multi-factor framework.
  • Own research streams end-to-end (idea → back tests → production → monitoring).
  • Review, challenge, and improve model assumptions, data quality, and robustness.
  • Set research priorities jointly with the head of quantitative research.
  • Contribute to research standards, documentation, and best practices.
  • Mentor and review work of junior quants.
  • Communicate complex quantitative results clearly to PMs, traders, risk, and leadership.

Required Qualifications
  • Deep experience in fixed income markets and instruments, both public and private.
  • Advanced training in Mathematics, Statistics, Physics, Computer Science, Econometrics, Finance, or another highly quantitative field. MSc or equivalent.
  • Minimum 5 years of work experience with fixed-income products with strong emphasis on quantitative methods.
  • Experience with factor models and portfolio optimization techniques in fixed income.
  • Extensive experience in coding in Python.

Professional Skills Qualifications
  • Experience within a quantitative hedge fund or asset manager highly desired; equivalently, sell-side fixed-income research with published research pieces.
  • Experience in modern version-controlled research environments, i.e. git and docker.
  • Familiarity with agentic coding (e.g. Claude Code or similar).
  • Strong knowledge of probability and statistical techniques (e.g. time-series, cross-sectional and panel regressions, CART models, ensemble learning, dynamic factor models, Monte Carlo methods, Copula models, GARCH/stochastic volatility models)

Desired Qualifications
  • Experience with private credit and securitized products would be a strong plus.
  • Expertise in the application of factor investing in fixed income would be a plus.

Estimated Compensation:
Base Salary: For CA based position, the base salary range is $150k to $175k. This is an anticipated range only.
Other Compensation: Eligible to be considered for an annual discretionary bonus
Benefits: Eligible for TCW's comprehensive benefits package.
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