PhD Quant Research Winter Internship - NYC

Trading Interview; Northern, New York (KY, NY); Hybrid; USD 235,000 - 293,000; Full time

Benefits offered by this job

Housing provided

Meals provided

Job summary

Hudson River Trading (HRT) invites PhD students to join a Winter Internship Program in New York City. This three-week, in-person program introduces quantitative research with real-world tasks and access to a compute cluster. It runs from January 4, 2027, and targets those graduating between fall 2027 and summer 2029.

You will participate in research projects, learn trading styles from experts, train models, and enjoy company-paid housing and meals during the internship.

Qualifications

• You are a full-time PhD student graduating between fall 2027 and summer 2029 in a technical or quantitative discipline (math, physics, computer science, statistics, machine learning, or a related program).
• Demonstrated experience in programming; familiarity with Python and/or C++ is preferred.
• A passion for technology and excitement for learning something new.
• Exceptional problem solving skills.
• This program is specifically offered for individuals without extensive experience in the quantitative trading industry.

Responsibilities

• Learn about a wide range of trading styles from leading experts in the field.
• Work on independent research projects, representative of real work at HRT.
• Train models on our state of the art compute cluster.
• Explore all that New York City has to offer through a variety of social events and tech talks.

Skills

Python

C++

Education

PhD student in quantitative discipline

Job description

Hudson River Trading (HRT) invites PhD students to join a Winter Internship Program in New York City. This three-week, in-person program introduces quantitative research with real-world tasks and access to a compute cluster. It runs from January 4, 2027, and targets those graduating between fall 2027 and summer 2029.

You will participate in research projects, learn trading styles from experts, train models, and enjoy company-paid housing and meals during the internship.