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Remote Quantitative Developer Intern Jobs in Berkeley, CA

PsiQuantum

Intern, Quantum Architecture

Brisbane, CA · On-site +1

$27.50/hr

... remote positions. Location options will be dependent on the internship project topic. The ... Experience programming in Python, C++ or similar languages. * Competent use of collaborative ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Karius

Senior Software Engineer

Redwood City, CA · On-site +1

$150K - $197K/yr

Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities * Understand user needs ... quantitative problem-solving, with 7+ years of relevant software engineering experience; or a ...

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All JobsQuantitative Developer Intern JobsRemote Quantitative Developer Intern JobsRemote Quantitative Developer Intern Jobs in Berkeley, CA

Remote Quantitative Developer Intern information

What does a remote quantitative developer intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

What are the key skills and qualifications needed to thrive as a remote quantitative developer intern, and why are they important?

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

What are some common challenges faced by remote quantitative developer interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

What are popular job titles related to Remote Quantitative Developer Intern jobs in Berkeley, CA?

For Remote Quantitative Developer Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Developer Intern jobs in Berkeley, CA look for?

The top searched job categories for Remote Quantitative Developer Intern jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Quantitative Developer Intern jobs?

Cities near Berkeley, CA with the most Remote Quantitative Developer Intern job openings:

Remote Quantitative Developer Intern jobs near you
Infographic showing various Remote Quantitative Developer Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 18 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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