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Internship Algorithmic Trading Jobs in California

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Internship Algorithmic Trading information

What is an internship algorithmic trading?

Internship algorithmic trading positions are short-term roles, often offered to students or recent graduates, where individuals learn about and assist in developing, testing, and implementing automated trading strategies using computer algorithms. Interns typically work with quantitative analysts, traders, and software engineers to analyze market data, backtest strategies, and optimize trading models. These internships provide hands-on experience with programming, financial markets, and quantitative analysis, serving as a valuable stepping stone for a career in quantitative finance or trading.

What does an internship algorithmic trading do?

As an Algorithmic Trading intern, you'll likely be involved in tasks such as data collection and cleaning, backtesting trading strategies, and assisting with the development or enhancement of trading algorithms. You may work closely with quantitative analysts and traders to analyze market trends, evaluate performance metrics, and optimize models. Interns often gain hands-on exposure to programming languages like Python or C++, and collaborate within a fast-paced, team-oriented environment where communication and problem-solving skills are highly valued.

What skills and qualifications are needed for an internship algorithmic trading?

To thrive as an Algorithmic Trading Intern, you need strong quantitative skills, proficiency in programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by coursework in mathematics, statistics, finance, or computer science. Familiarity with trading platforms, data analysis tools like MATLAB or R, and sometimes experience with version control systems or Bloomberg Terminal, is highly beneficial. Analytical thinking, attention to detail, and effective communication help interns contribute meaningfully to team projects and adapt quickly in fast-paced environments. These skills enable interns to analyze large datasets, develop trading algorithms, and collaborate efficiently, all of which are crucial for success in algorithmic trading.

What is the difference between Internship Algorithmic Trading vs Internship Quantitative Analysis?

AspectInternship Algorithmic TradingInternship Quantitative Analysis
Required CredentialsStrong programming skills, basic finance knowledge, often pursuing degrees in finance, computer science, or engineeringMathematical and statistical skills, degrees in mathematics, statistics, or related fields, programming skills beneficial
Work EnvironmentFast-paced trading firms, hedge funds, or proprietary trading desksFinancial institutions, research firms, or investment banks
Employer & Industry UsageCommon in trading firms and hedge funds focused on developing trading algorithmsUsed across finance sectors for data analysis, model development, and research

Internship Algorithmic Trading focuses on developing and implementing trading algorithms, requiring programming and finance knowledge. Internship Quantitative Analysis emphasizes data analysis and statistical modeling to inform investment decisions. Both roles involve quantitative skills but differ in their primary focus and work environment.

What are the most commonly searched types of Algorithmic Trading jobs in California?

The most popular types of Algorithmic Trading jobs in California are:

What are popular job titles related to Internship Algorithmic Trading jobs in California?

For Internship Algorithmic Trading jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Algorithmic Trading jobs in California look for?

The top searched job categories for Internship Algorithmic Trading jobs in California are:

What cities in California are hiring for Internship Algorithmic Trading jobs?

Cities in California with the most Internship Algorithmic Trading job openings:

Internship Algorithmic Trading jobs near you
Infographic showing various Internship Algorithmic Trading job openings in California as of August 2026, with employment types broken down into 8% Internship, 64% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Algorithm Development (Quant Research & Trading) PhD Internship - Summer 2027

Hudson River Trading

London, CA

Full-time, Temporary, Internship

Re-posted 5 days ago

Job description

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

We trade on more than 200 markets around the world, across a variety of time horizons - offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. Through this internship, you'll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry. 

What to Expect

  • Use advanced research experience and expertise to apply academic research to impactful real-world problems in trading across time horizons and machine learning strategies
  • Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
  • Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
  • Utilize our industry-leading compute cluster to run simulations and crunch data
  • Build predictive models for financial markets using a combination of market and non-market data
  • Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
  • Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

  • You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
  • Fluency in Python is a must
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • You're excited to apply your research expertise to identify new opportunities in worldwide markets  
    Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
London: Weekly base salary of 4,350 GBP

Apply