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Quant Developer Internship Jobs in Berkeley, CA (NOW HIRING)

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Engineering, or a related quantitative field * Working proficiency in Python (pandas, numpy) and ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Engineering, or a related quantitative field * Working proficiency in Python (pandas, numpy) and ...

Snowflake

Strategic Finance Analyst

Menlo Park, CA · On-site

$90K - $117K/yr

Collaborate with PMs and Sales Work alongside Engineering, Product Managers, and Sales to evaluate ... quantitative and qualitative data through coursework, projects, or internships. You may not have ...

Flux Protocol, Inc

Growth Engineer

San Francisco, CA · On-site

$183K - $248K/yr

Quantitative mindset: love for data, funnel metrics, and experimentation frameworks ... Exposure to developer tools, SaaS, or products with technical users. * Comfort with SEO/website ...

Flux

Growth Engineer

San Francisco, CA · On-site

$183K - $248K/yr

Quantitative mindset: love for data, funnel metrics, and experimentation frameworks ... Exposure to developer tools, SaaS, or products with technical users. * Comfort with SEO/website ...

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Quant Developer Internship information

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 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 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.
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Quant Developer Internship jobs near you
Data Scientist, Core Data - PhD (2026)

Data Scientist, Core Data - PhD (2026)

Figma

San Francisco, CA • On-site, Remote

Other

Re-posted 16 days ago

Job description

We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma.  We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company.

This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling.  

This is a full time role that can be held from one of our US hubs or remotely in the United States. 

What you'll do at Figma:

  • Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions  
  • Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques
  • Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives  
  • Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously
  • Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery  
  • Drive data quality, accessibility, and the democratization of data across the organization

We'd love to hear from you if you have:

  • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning
  • Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences
  • A curious and rigorous mindset, with a passion for translating research into real-world impact

While it's not required, it's an added plus if you also have:

  • Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems
  • An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features
  • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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