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
- 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
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Econometrics and Financial Time Series
- Modern C++ for Quantitative Finance
- Quantitative Research, Data and Backtesting
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.