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Junior Quantitative Jobs in California (NOW HIRING)

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

$165 - $240/hr

PhD preferred2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly relevant ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly ...

GDIT

Junior Biostatistician

San Diego, CA

The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions ... EDUCATION: Bachelor's degree with one to two (1-2) years' experience in quantitative science ...

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How much do junior quantitative jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for junior quantitative in California is $26.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $32.74 per hour, depending on experience, location, and employer.

What is a junior quantitative?

Junior Quantitatives, often called 'junior quants,' are entry-level professionals who use mathematical, statistical, and computational methods to analyze financial data and develop models for trading, risk management, or investment strategies. They typically work under the supervision of senior quants in financial institutions, such as investment banks, hedge funds, or asset management firms. Their responsibilities often include data analysis, model development, programming, and assisting in the implementation of quantitative strategies. Junior quants usually have strong backgrounds in mathematics, statistics, finance, or computer science. This role is a starting point for building a career in quantitative finance.

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

To thrive as a Junior Quantitative Analyst, you need strong analytical skills, a solid background in mathematics or statistics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python, R, or MATLAB, as well as proficiency in Excel and experience with data analysis tools, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex analyses into actionable insights. These skills and qualifications are crucial for building accurate financial models, supporting decision-making, and contributing meaningfully to data-driven teams.

What are some common challenges faced by junior quantitative analysts in their first year, and how can they overcome them?

Junior Quantitative Analysts often encounter challenges such as adapting to the fast-paced environment, bridging the gap between academic theory and practical application, and mastering company-specific tools and large datasets. Building strong communication with senior team members and proactively seeking feedback can help overcome these hurdles. Additionally, dedicating time to learn the firm's proprietary systems and collaborating closely with cross-functional teams—like traders and software engineers—will accelerate both skill development and confidence in the role.

What is the difference between Junior Quantitative vs Quantitative Analyst?

AspectJunior QuantitativeQuantitative Analyst
Required CredentialsBachelor's degree in math, finance, or related field; some internshipsBachelor's or master's degree; often more experience or certifications
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, project-driven, higher responsibility
Employer & Industry UsageFinancial firms, hedge funds, banksFinancial institutions, asset management, hedge funds

The main difference between Junior Quantitative and Quantitative Analyst roles lies in experience and responsibility. Junior Quantitative positions are entry-level, focusing on learning and supporting senior staff, while Quantitative Analysts handle more complex analysis and decision-making. Both roles are common in finance and share similar educational backgrounds, but the level of experience and independence distinguishes them.

Is a junior quantitative an entry level job?

A junior quantitative role is typically considered an entry-level position in finance or data analysis, often requiring a bachelor's degree in a related field and some programming or statistical skills. It is designed for candidates with limited professional experience and provides training to develop technical expertise in quantitative methods.

What is the salary of a junior quantitative researcher?

The salary of a junior quantitative researcher typically ranges from $60,000 to $90,000 annually, depending on the location, industry, and level of experience. Entry-level roles often require proficiency in programming languages like Python or R and strong analytical skills.

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

The most popular types of Quantitative jobs in California are:

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

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

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

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

What cities in California are hiring for Junior Quantitative jobs?

Cities in California with the most Junior Quantitative job openings:

Junior Quantitative jobs near you
Infographic showing various Junior Quantitative job openings in California as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $55,334 per year, or $26.6 per hour.

Senior Staff Quantitative Product Researcher

Jobtailor

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 3 days ago

New

Job description

  • Lead the end-to-end development of user-centered metrics, including construct definition, survey design and validation, reliability and sensitivity testing, experimentation planning, and behavioral proxy or predictive model development
  • Extend measurement work into model stewardship by informing retraining decisions, evaluating generalizability across user segments, and stress-testing model limitations
  • Conduct deep-dive learning analyses to identify drivers and levers behind key metrics
  • Translate analyses into actionable direction for product and Data Science partners
  • Set and execute the learning agenda across a broad problem space
  • Partner as an equal with Data Science and Engineering to shape measurement work
  • Synthesize behavioral analyses, experiment results, qualitative insights, and research findings to inform product and business decisions
  • Present findings to senior leadership
  • Partner with research managers to set quantitative research direction and mentor junior quantitative researchers
Requirements
  • 7+ years of quantitative user research experience with large-scale consumer data
  • Track record leading metric development end-to-end, from construct definition through survey validation, experimental validation, and behavioral proxy or predictive modeling
  • Deep expertise in survey methodology, including construct validity, reliability, and sensitivity
  • Expertise in statistical modeling, experimentation at scale, and behavioral analysis
  • Experience informing ML model evaluation and maintenance, including retraining triggers, segment generalizability, and failure modes
  • Fluency in R or Python and SQL
  • Strong data visualization skills
  • Ability to operate as a peer to Data Science and Engineering and guide technical work direction
  • Experience working horizontally across teams, developing strategy with cross-functional partners, and presenting to senior leadership
  • Experience leveraging AI tools in the research process with discernment and a high quality bar
  • PhD in a computational social science, statistics, computer science, or related field preferred, or equivalent practical experience

Demonstrates extensive expertise in quantitative user research, statistical modeling, and survey methodology, with a strong ability to translate complex analyses into actionable insights for product and business decisions. Proficient in collaborating with cross-functional teams, including Data Science and Engineering, to drive measurement strategies and mentor junior researchers.

Highest-signal resume keywords
  • Quantitative User Research
  • Statistical Modeling
  • Survey Methodology
  • R or Python and SQL
  • Data Visualization
ATS Optimization Keywords Hard Skills
  • Metric Development
  • Construct Definition
  • Survey Validation
  • Experimental Validation
  • Behavioral Proxy Modeling
  • Reliability Testing
  • Sensitivity Testing
  • Machine Learning Model Evaluation
  • Behavioral Analysis
  • Deep-Dive Learning Analyses
Soft Skills
  • Collaboration
  • Mentoring
  • Presentation Skills
  • Strategic Development
Certifications & Qualifications
  • PhD in Computational Social Science
  • PhD in Statistics
  • PhD in Computer Science
Industry Keywords
  • Consumer Data
  • User-Centered Metrics
  • Experimentation Planning
  • Model Stewardship
  • Cross-Functional Partnerships
Tools & Technologies
  • AI Tools
  • Data Visualization Tools
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