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Internship Quant Intern Jobs in California (NOW HIRING)

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Research Intern

Sacramento, CA · On-site

$20 - $25/hr

This internship is open to current college students and recent graduates in fields such as research, psychology, sociology, communications, marketing, journalism, political science, or public ...

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Internship Quant Intern information

What is the difference between Internship Quant Intern vs Quant Analyst?

AspectInternship Quant InternQuant Analyst
Required CredentialsTypically pursuing or recent graduate in Math, Finance, or related fieldsBachelor's or Master's in Quantitative fields, often with some experience
Work EnvironmentInternship programs, training-focused, entry-levelFull-time, professional environment, more responsibility
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Search & Comparison IntentUnderstanding entry-level roles, internshipsCareer progression, full-time roles

The Internship Quant Intern is an entry-level, temporary position aimed at students or recent graduates gaining initial experience. In contrast, a Quant Analyst is a full-time professional role with greater responsibilities, requiring more experience and often a higher level of education. Both roles are common in finance and investment industries, but they differ significantly in scope and career stage.

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Internship Quant Intern jobs near you

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

Hudson River Trading

London, CA • On-site

Temporary, Internship

Re-posted 24 days ago

Job description

Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.

Ideal candidates are quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.

What to Expect

  • 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
  • Work on impactful projects in close collaboration with experienced researchers, traders, and developers
  • Utilize our world-class 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 undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
  • Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • 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

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.

Apply