PhD Quant Research & Trading Internship — Algorithm Development

Hudson River Trading; New York, Northern (NY, KY); Hybrid; USD 3,140,000 - 3,822,000; Full time

Benefits offered by this job

Signing bonus

Company-paid housing

Meals

Job summary

Hudson River Trading in New York is offering a full-time PhD internship in Algorithm Development for Summer 2027. You will rotate across teams, applying your quantitative research to automated trading strategies using Python and C++ in a high-performance compute environment.

The program emphasizes mentorship, hands-on experiments with time-series data, and exposure to cutting-edge machine learning techniques; you will collaborate with researchers and engineers on real-world market problems.

Qualifications

• PhD student in a quantitative discipline with full-time availability.
• Fluency in Python required.
• Experience with statistical analysis, numerical programming, or ML in Python.
• Interest in applying research to worldwide markets; strong communication skills.

Responsibilities

• Apply academic research to trading problems across time horizons.
• Develop and implement automated trading strategies.
• Use Python/C++ and data tools to run simulations and analyses.
• Collaborate with researchers and technologists; participate in tech talks.

Skills

Python

Machine learning

Statistical analysis

Pandas/Numpy

Education

PhD student in quantitative discipline

Tools

C++

MATLAB

R

Pandas

NumPy

Job description

Hudson River Trading in New York is offering a full-time PhD internship in Algorithm Development for Summer 2027. You will rotate across teams, applying your quantitative research to automated trading strategies using Python and C++ in a high-performance compute environment.

The program emphasizes mentorship, hands-on experiments with time-series data, and exposure to cutting-edge machine learning techniques; you will collaborate with researchers and engineers on real-world market problems.