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Internship Quantitative Developer Jobs in California

Kiewit

Kiewit Scholars - Summer 2027 Internship

Irvine, CA · On-site

$18 - $23.25/hr

Our Design Engineer Interns are a part of our teams that supports all aspects of the construction process by performing innovative design engineering through brainstorming conceptual designs ...

New

US Tech Solutions

Engineer Degreed I

Santa Clara, CA · On-site

... quantitative measurement of colorization quality, and the user interface 2. Work in WBC diff area ... Hiring Manager is looking for interns Master degree or Ph.D. (preferred) graduated students ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site

$45 - $60/hr

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site

$45 - $60/hr

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

... rigorous quantitative methodologies. • Demonstrated ability to clearly communicate research ... internships, or contributions to open-source projects. • First-authored publications on language ...

Apple

SW ML Optimization Engineer

Cupertino, CA · On-site

... quantitative field (or equivalent practical experience). Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or ...

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Internship Quantitative Developer information

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.

What are the key skills and qualifications needed to thrive as an internship quantitative developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

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 Internship Quantitative Developer jobs in California?

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

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

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

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

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

Internship Quantitative Developer jobs near you
Infographic showing various Internship Quantitative Developer job openings in California as of August 2026, with employment types broken down into 14% Internship, 65% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Software Engineer I

LOS ANGELES CAPITAL MANAGEMENT LLC

Los Angeles, CA • On-site

Full-time

Medical, Retirement

Re-posted 25 days ago

Job description

SOFTWARE ENGINEER


About the Firm


Firm Mission

“Achieving Client Success through Research and Technology”


Los Angeles Capital, the “Firm”, is a global equity manager of assets for leading institutions around the world. The Firm is recognized as a pioneer in dynamic equity management, utilizing proprietary technology to engineer equity portfolios that adapt to today’s equity market. The Firm’s senior investment professionals have worked together for three decades developing models for measuring and forecasting return and risk of global equity securities. The Firm manages approximately $40.1 billion as of December 31, 2025, across a wide variety of public equity strategies designed to meet institutional client return and risk objectives. The Firm has been ranked for seven years in a row by Pensions and Investments as one of the “Best Places to Work in Money Management.” The Firm’s working environment places a strong focus on teamwork and values work-life balance. The Firm offers a competitive compensation package that includes health care plans, 401(k), and top-tier benefits. The Firm is 100% employee-owned through a holding company structure and seeks to retain and motivate employees’ long term. Los Angeles Capital firmly believes the quality and commitment of the individuals are vital to the success of the Firm, ensuring that client expectations are exceeded.


Position Overview

Reporting to the Associate Director in the Quantitative Investment Platform (QIP) team within Research, the Software Engineer will help design, build, and maintain the Python applications, services, and tooling that power the Firm’s investment platform. Working alongside more senior engineers, this person will write production code — APIs, domain logic, automation, and supporting libraries — with a strong emphasis on clean, well-tested, maintainable software. This is a strong fit for someone early in their career who wants to develop real depth in software engineering inside a quantitative investment firm.


Key Job Responsibilities

  • Design, build, and maintain Python applications and services that support the firm’s research and investment process, with guidance from senior engineers
  • Write clean, well-tested, maintainable code following team standards: type hints throughout, small focused functions, and clear naming
  • Build and consume internal APIs (e.g., FastAPI) and well-modeled domain libraries (e.g., Pydantic), with attention to clear interfaces and separation of concerns
  • Participate actively in code review, both giving and receiving feedback, as a core part of how the team ships software
  • Contribute to the team’s automated test suites and help keep them fast, reliable, and meaningful
  • Help maintain and improve CI/CD pipelines (GitHub Actions) so that changes ship safely and frequently
  • Integrate the software you build with the firm’s data platform (Snowflake) and orchestration (Prefect) where the work calls for it
  • Write and keep current the technical documentation and runbooks for the components you own
  • Collaborate with quantitative researchers and fellow engineers to turn requirements into reliable, well-designed software
  • Participate in agile team practices including sprint planning, backlog grooming, and estimation
  • Continuously sharpen your engineering practice and take on increasing scope and ownership as you grow


Skills and Knowledge Required

  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related quantitative field
  • At least 1 year of hands-on professional experience writing production software (internships and co-ops can count toward this)
  • Solid proficiency in Python, including a working understanding of idiomatic, well-structured code