Hudson River Trading

Algorithm Development (Quant Research) Internship - Summer 2027

Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate or master's student in a quantitative discipline (e.g., math, physics, computer science, statistics)
  • Proficiency in programming with Python; C++ knowledge is a plus
  • Experience with statistical analysis and numerical programming in Python or similar tools
  • A keen interest in applying quantitative methods to solve real-world problems
  • Effective communication skills

Responsibilities

  • Leverage proprietary tools to conduct quantitative research and data analysis
  • Apply machine learning and time series techniques to analyze market data
  • Collaborate on impactful projects with experienced traders and developers
  • Utilize advanced compute clusters for simulations and data processing
  • Develop predictive models for financial markets using diverse datasets
  • Participate in Tech Talks to deepen understanding of trading and market dynamics
  • Engage in mentorship and social events throughout the internship

Benefits

  • Company-paid housing
  • Meals provided
  • Access to mentorship programs
  • Participation in trading games
  • Opportunities to attend industry-related talks and events
Full 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

About Hudson River Trading

Hudson River Trading (HRT) is a multi-asset class quantitative trading firm, and more specifically a high-frequency trading (HFT) firm, based in New York City and founded in 2002. The company is a global liquidity provider and market maker, operating in markets across the world, including equities, futures, options, currencies, and fixed income. HRT uses advanced technology and algorithms to analyze market data and execute trades at high speeds, with a focus on providing liquidity to the markets and minimizing risk. The company is known for its innovative approach to trading and its use of cutting-edge technology, including machine learning and artificial intelligence.
Learn more about Hudson River Trading
Size
500 employees
Industry

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