PhD Algorithm Research Intern - Quant Trading

Hudson River Trading; New York (NY); On-site; USD 250,000 - 302,000; Full time

Benefits offered by this job

Weekly base salary 5,800 USD

Signing bonus

Company-paid housing

Meals

Other perks

Job summary

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program in New York. You will focus on researching and implementing automated trading strategies and rotate across teams with researchers and technologists.

You will use Python, time-series methods, and our compute cluster to run simulations and derive insights from large datasets, with a strong emphasis on collaboration and mentorship throughout the summer.

Qualifications

• Full-time PhD student in a quantitative discipline.
• Fluency in Python is a must.
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB.
• Strong communication skills.

Responsibilities

• Apply academic research to impactful real-world trading problems across time horizons.
• Use Python/C++ and third-party tools to conduct quantitative research and data analysis.
• Develop predictive models for financial markets and run simulations on large datasets.

Skills

Python

Statistical analysis

Numerical programming

Machine learning

Communication skills

Education

PhD student in quantitative field

Tools

Pandas/Numpy

MATLAB

R

Job description

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program in New York. You will focus on researching and implementing automated trading strategies and rotate across teams with researchers and technologists.

You will use Python, time-series methods, and our compute cluster to run simulations and derive insights from large datasets, with a strong emphasis on collaboration and mentorship throughout the summer.