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Junior Quantitative Developer Jobs in California

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

$165 - $240/hr

... engineering, computer science or another highly quantitative discipline; PhD preferred2-5 years of ... exceptional junior candidates with directly relevant doctoral research will also be ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

... junior candidates with directly relevant doctoral research will also be considered * Strong ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

... junior candidates with directly relevant doctoral research will also be considered * Strong ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

CPMC LLC

Jr. Software Engineer (SECRET)

San Diego, CA · On-site

... Levels: Jr. - Mid Level Clearance: Active Security Clearance (Secret or higher) is preferred ... Bachelor's degree in a quantitative field such as engineering or mathematics (e.g. Electrical ...

GDIT

Junior Biostatistician

San Diego, CA · On-site

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Datasource, Data ... EDUCATION: Bachelor's degree with one to two (1-2) years' experience in quantitative science ...

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Junior Quantitative Developer information

See California salary details

$23.7K

$87.8K

$135.7K

How much do junior quantitative developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior quantitative developer in California is $87,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $85,900.00 per year, depending on experience, location, and employer.

What is a junior quantitative developer?

A Junior Quantitative Developer is responsible for developing, implementing, and maintaining quantitative models and tools used in trading, risk management, or financial analysis. They work closely with quantitative analysts and traders to optimize algorithms, improve performance, and ensure data accuracy. This role typically requires strong programming skills in languages like Python, C++, or Java, along with a solid understanding of mathematics, statistics, and financial markets. Junior Quantitative Developers often contribute to backtesting trading strategies, optimizing execution algorithms, and improving financial models. The position serves as a foundational step for a career in quantitative finance, providing hands-on experience in both development and financial modeling.

What are the typical daily responsibilities of a junior quantitative developer?

As a Junior Quantitative Developer, your daily tasks often include writing and optimizing code to implement quantitative models, analyzing large datasets, and performing model validation or back-testing. You’ll also collaborate closely with senior quants, traders, and software engineers to refine strategies or troubleshoot issues as they arise. Additionally, you may maintain documentation, participate in code reviews, and stay updated with the latest development practices and financial concepts. This role offers a dynamic experience that builds both your technical programming skills and your understanding of financial markets.

What are the key skills and qualifications needed to thrive as a junior quantitative developer?

To thrive as a Junior Quantitative Developer, you need a solid background in mathematics, statistics, and programming—often supported by a relevant degree in fields like computer science, engineering, or quantitative finance. Familiarity with programming languages such as Python, C++, or R, as well as experience using version control systems and exposure to financial data platforms, is highly valuable. Attention to detail, strong analytical thinking, and effective collaboration skills help you excel in dynamic, team-based environments. These capabilities are essential for developing and maintaining quantitative models that support data-driven decision-making in finance or related sectors.

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

The most popular types of Quantitative Developer jobs in California are:

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

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

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

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

What cities in California are hiring for Junior Quantitative Developer jobs?

Cities in California with the most Junior Quantitative Developer job openings:

Junior Quantitative Developer jobs near you
Infographic showing various Junior Quantitative Developer job openings in California as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $87,810 per year, or $42.2 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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