ZipRecruiter

Log In

1

Internship Python Quant Jobs in California (NOW HIRING)

MITRE

Model-Based Software Systems Engineer

San Diego, CA · Hybrid

$77.60K - $97K/yr

... Python, C/C++ • Familiarity with modeling languages such as SysML and UML • Applicable internships across subject matter domains (e.g. Aerospace, Healthcare, Defense) • Proficiency in use of ...

Bellwether

Systems Analyst, Debt

El Segundo, CA

... internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles. * Strong proficiency in Python building data ...

Bellwether

Systems Analyst, Debt

El Segundo, CA · On-site

... internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles. * Strong proficiency in Python building data ...

Bellwether

Systems Analyst, Debt

El Segundo, CA

... internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles. * Strong proficiency in Python building data ...

Milliman

Analytics Intern

San Diego, CA · On-site

$21 - $43/hr

Internship As an Analytics Intern within our Pharmacy Benefits Consulting team in our San Diego ... Currently enrolled in a bachelor's (or master's) degree program in a quantitative field (e.g ...

Bellwether

Systems Analyst, Debt

El Segundo, CA · On-site

... internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles. * Strong proficiency in Python building data ...

next page

Showing results 1-20

People also search for

All JobsPython Quant JobsInternship Python Quant JobsInternship Python Quant Jobs in California

Internship Python Quant information

What are the key skills and qualifications needed to thrive as an Internship Python Quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What are the most commonly searched types of Python Quant jobs in California? The most popular types of Python Quant jobs in California are:
What cities in California are hiring for Internship Python Quant jobs? Cities in California with the most Internship Python Quant job openings:
Internship Python Quant jobs near you

Data Scientist, Core Data - PhD (2026)

Figma

San Francisco, CA • On-site, Remote

Other

Posted yesterday

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.

Apply