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Quant Developer Internship Jobs in California (NOW HIRING)

We seek a Process Engineering Intern whose academic interests span molecular diagnostics, process optimization and quantitative problem solving. This internship offers an immersive dive into the ...

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

... 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 ...

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

AI Intern

San Jose, CA

$17.75 - $23.50/hr

This internship provides hands-on experience working with emerging AI systems and integrating them ... quantitative metrics. * Collaborate with engineers and researchers to translate ambiguous ...

Advantest America Internship Advantest America, a global leader in Semiconductor Test and ... quantitative metrics. * Collaborate with engineers and researchers to translate ambiguous ...

S. in Computer Science, Data Science, Engineering, Applied Math, or a related quantitative field. * Hands-on experience with ML modeling via coursework, internships, or independent projects.

S. in Computer Science, Data Science, Engineering, Applied Math, or a related quantitative field. * Hands-on experience with ML modeling via coursework, internships, or independent projects.

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Quant Developer Internship information

What are the key skills and qualifications needed to thrive as a Quant Developer Intern, and why are they important?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.

What are some common challenges faced during a Quant Developer Internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

What is a Quant Developer Internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

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

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

What are the most commonly searched types of Quant Developer jobs in California? The most popular types of Quant Developer jobs in California are:
What job categories do people searching Quant Developer Internship jobs in California look for? The top searched job categories for Quant Developer Internship jobs in California are:
What cities in California are hiring for Quant Developer Internship jobs? Cities in California with the most Quant Developer Internship job openings:
Infographic showing various Quant Developer Internship job openings in California as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.
Senior Quantitative Developer - BQuant

Senior Quantitative Developer - BQuant

Bloomberg

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Senior Quantitative Developer - BQuant

Location

San Francisco

Business Area

Engineering and CTO

Ref #

10048556

Description & Requirements

BQuant is Bloomberg’s cutting edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods, finance is quickly becoming a business where only the best capitalized firms can compete. BQuant’s mission is to change that, by empowering researchers and investment decision makers around the world with the sophisticated tools that are currently only available to the largest investment firms.

Our team is developing a suite of new, cloud-native products for systematic and quantamental investment workflows. We are designing these products to scale to a broad and diverse client base of hedge funds, asset managers and investment banks who need to run decades-long backtests of complex strategies that depend on traditional and cross-asset signals, alternative data and machine learning techniques. We seamlessly integrate with Bloomberg’s massive troves of high quality market data, and make use of a modern technology stack which includes both in-house solutions and open-source packages such as Pandas, PySpark, Scikit learn and PyTorch.

We are looking for a senior quantitative developer with experience in building systems for quantitative investing, including things such as signal generation, portfolio construction, backtesting, and advanced analytics. This is a fantastic opportunity for an entrepreneurial individual to join a growing team, to apply open-source technology at scale, and to help shape a strategic product with industry-wide impact.

See what people are saying about BQuant:

  • Bloomberg founder, Mike Bloomberg:

  • Bloomberg CTO, Shawn Edwards:

  • Bloomberg tech blog:

We’ll trust you to:

  • Develop a modular framework for implementing and evaluating systematic trading. strategies, including signal generation, portfolio construction and backtesting.

  • Create APIs that are intuitive to quant practitioners.

  • Work hand-in-hand with Bloomberg quantitative researchers to prototype and iterate on new product ideas.

  • Think about how our solutions can be used for both research and production.

  • Collaborate across teams.

You’ll need to have:

  • 4+ years of experience as a quantitative developer writing production-quality Python at financial technology firms

  • Broad experience developing software for quantitative investment workflows in equities, fixed income or multi-asset strategies.

  • Experience working with large financial datasets, in time series or other structures.

  • The ability to work cross-functionally with software engineers, quant researchers and product managers.

  • A Bachelor, Masters or PhD in a quantitative field, such as computer science, computational finance, financial engineering or mathematics.

  • Strong software engineering foundation, with experience in library and API design, system architecture, testing, and deployment.

We’d love to see:

  • Prior buy side experience as a quantitative developer or software developer.

  • Financial domain knowledge in multiple asset classes.

  • Production-level experience with Python’s numerical and machine learning packages.

  • Partnership with front office teams.

Salary Range = 155,000 - 285,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net


Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981