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

A summer internship in HRT's algorithm development group, rotating across high-frequency, mid-frequency and machine learning teams. Interns research and build trading strategies with mentors.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Run research and data analysis on HRT's Python/C++ stack
  • Apply ML and time series methods to large datasets
  • Build predictive models from market and non-market data
  • Run simulations on the compute cluster

What they ask for

Required

  • Undergraduate or master's student in a quantitative subject
  • Python programming
  • Statistics, numerical programming or ML
  • Interest in applying models to real problems
  • Communication skills

Preferred

  • C++ for low-latency interest
Education
Full-time undergraduate or master's student in maths, physics, computer science, statistics or similar.
Experience
Students
Languages and tools
  • Python
  • C++
  • R
  • MATLAB
Markets
multi-asset

How to prepare

  • Build a time series forecasting project with proper validation
  • Practise coding in both Python and C++
  • Study market microstructure basics
  • Do probability and statistics problem sets

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Hudson River Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on Hudson River Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Hudson River Trading and doesn’t handle applications.

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