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Internship Python Quant Jobs in California (NOW HIRING)

Nace AI

Research Engineer

Palo Alto, CA · On-site

Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow ... internships, or contributions to open-source projects * First authored publications on language ...

Secretariat

Associate, Damages & Valuations

San Francisco, CA · On-site

$18.50 - $24.75/hr

... ability, strong quantitative training, clear communication, and creativity. In this role, the ... Proficiency in Excel and familiarity with tools such as Stata, R, Python, or SQL * Comfort working ...

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 ... quantitative field * Working proficiency in Python (pandas, numpy) and comfort with data ...

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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 ... quantitative field * Working proficiency in Python (pandas, numpy) and comfort with data ...

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Internship Python Quant information

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 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 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

Research Engineer

Nace AI

Palo Alto, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Role Description
This role is on-site in Palo Alto, CA.
Nace AI is building the next generation of enterprise intelligence - advanced long-horizon reasoning models and autonomous agents designed to execute complex financial workflows with precision. Our flagship product, Agentic Accounting, enables financial audit, billing audit, and revenue leakage detection with speed and accuracy that traditional systems cannot match.
We are at a pivotal stage in our growth. While we've already achieved sufficient funding, our ambitions are much larger. Our goal is to become the foundational AI platform for intelligent financial operations across the enterprise.
The work we are doing has meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company's trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we'd love to talk.
Minimum Qualifications
  • Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings
  • Strong research background in Natural Language Processing, Machine Learning, or related disciplines with focus on language modeling
  • Proven track record in solving complex problems in language understanding, generation, or multimodal AI using rigorous quantitative methodologies
  • Demonstrated ability to clearly communicate research findings to diverse technical audiences
  • Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in distributed training and model optimization

Preferred Qualifications
  • PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems
  • Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects
  • First authored publications on language models, meta-learning, hypernetworks, or adaptive AI in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals
  • Kaggle experience is a plus.

Preferred Technical Experience
  • Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning

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