PhD Algorithm Dev Intern - Research to Real Markets

Trading Interview; New York (NY); On-site; USD 224,000 - 303,000; Part time

Benefits offered by this job

Signing bonus

Housing

Meals

Job summary

Hudson River Trading is seeking exceptional PhD students for its Algorithm Development summer internship in New York. You will rotate across teams, applying research to real-world trading problems and building predictive models using Python and C++ in a high-performance environment.

You will work on machine learning, time series analysis, and numerical programming, leveraging Pandas/Numpy and other tools. The internship includes a signing bonus, housing, meals, and other perks while you

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
• Fluency in Python is a must
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• You're excited to apply your research expertise to identify new opportunities in worldwide markets. Strong communication skills

Responsibilities

• Use advanced research to apply academic work to real-world trading problems across time horizons.
• Leverage our Python/C++ infrastructure with third-party tools for quantitative research and data analysis.
• Use machine learning and time series techniques to derive insights from large, complex datasets.
• Utilize the compute cluster to run simulations and crunch data.
• Build predictive models for financial markets using mixed data sources.
• Attend Tech Talks and participate in mentorships and social events during the summer.

Skills

Python

Pandas/Numpy

Machine learning

Communication skills

Education

PhD student in a quantitative discipline

Job description

Hudson River Trading is seeking exceptional PhD students for its Algorithm Development summer internship in New York. You will rotate across teams, applying research to real-world trading problems and building predictive models using Python and C++ in a high-performance environment.

You will work on machine learning, time series analysis, and numerical programming, leveraging Pandas/Numpy and other tools. The internship includes a signing bonus, housing, meals, and other perks while you