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Junior Quantitative Developer Jobs in California

CMP.jobs

Senior Software Developer

Newport Beach, CA

$58.50 - $77.50/hr

The solution leverages cutting-edge techniques to empower Portfolio Managers and Quant Research ... Mentor junior team members and perform code reviews to maintain high-quality standards.

Fairstead ESC LLC

Developer

Los Angeles, CA

$160K - $180K/yr

Demonstrate strong leadership and team-building qualities, mentoring junior staff and contributing ... Strong quantitative, financial analysis and modeling (excel) skills. * Exceptional research and ...

Fairstead ESC LLC

Developer

San Francisco, CA

$160K - $180K/yr

Demonstrate strong leadership and team-building qualities, mentoring junior staff and contributing ... Strong quantitative, financial analysis and modeling (excel) skills. * Exceptional research and ...

STR

Lead Software Engineer

San Diego, CA · On-site

... mentoring junior engineers while developing innovative software solutions for advanced data ... quantitative analysis • Familiarity with multi-threaded or multi-core real-time operating ...

1 point system

Data Analyst

Irvine, CA · On-site

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives ... This role is focused on analytics and quantitative reasoning , not engineering. The ideal candidate ...

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Showing results 21-40

All JobsQuantitative Developer JobsJunior Quantitative Developer JobsJunior Quantitative Developer Jobs in California

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 17, 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 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $87,810 per year, or $42.2 per hour.

Larson and Hope Labs - Junior/Assistant/Associate/Full Specialist

UCSF

San Francisco, CA • On-site

Other

Posted 23 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

Larson and Hope Labs – Junior/Assistant/Associate/Full Specialist

The Larson and Hope Labs are seeking a Junior, Assistant, Associate, or Full Specialist. This position focuses on the development and application of cutting-edge artificial intelligence methods for automated analysis of cancer imaging data, with an emphasis on integrating large language models (LLMs) with image-based segmentation and interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across modalities.

UCSF has led the clinical translation of PSMA PET imaging, and this position represents a key next step in developing advanced computational tools to maximize its clinical and research utility. The successful candidate will also benefit from active collaborations with multiple industry partners, providing exposure to translational and commercial development pipelines.

Responsibilities include:

  • Developing and validating deep learning models for medical image segmentation, with a focus on PSMA PET and broader radiology applications
  • Designing and implementing pipelines that integrate LLMs with image-based analysis algorithms for enhanced interpretation and reporting
  • Curating and managing large-scale cancer imaging datasets in collaboration with clinical and industry partners
  • Disseminating research findings through peer-reviewed publications, with target venues including Radiology: Artificial Intelligence, Journal of Nuclear Medicine, and IEEE Transactions on Medical Imaging and related IEEE journals
  • Contributing to grant applications and collaborative research projects across academic and industry settings

Required Qualifications:

  • Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in computer science, electrical engineering, biomedical engineering, data science, or a closely related field, or at least four years of research experience.
  • Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
  • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience.
  • Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
  • Applicants must meet all the qualifications by the time of hire.
  • Applicant materials must list current and/or pending qualifications upon submission.

Preferred Qualifications:

  • Scientific Computing programming experience (e.g. MATLAB, Python)
  • Experience working with imaging datasets and image processing
  • Experience with high-performance computing environments, including Linux/Unix, and running algorithms on CPUs and GPUs
  • Deep learning frameworks, particularly Python and PyTorch
  • Medical image segmentation and computer vision model development
  • Large language models and multimodal AI architectures
  • Setting up and managing large imaging datasets
  • Strong written communication skills and a track record of, or clear enthusiasm for, first-author publication are essential
  • PhD in computer science, electrical engineering, biomedical engineering, data science, or a closely related field is strongly preferred

See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.

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