Hudson River Trading (HRT) is now accepting applications for its PhD Winter Internship 2027, an intensive three-week paid quantitative research program based in New York City. Designed specifically for PhD students with little or no experience in quantitative trading, the internship offers hands-on research experience, mentorship from leading quantitative researchers, and access to one of the world’s most advanced computing environments. The internship begins on 4 January 2027 and is conducted entirely in person at HRT’s New York office. Successful interns receive a weekly base salary of US$5,800, company-paid housing, meals, and additional perks. About the Internship The HRT PhD Winter Internship introduces doctoral students to quantitative research and algorithmic trading through real-world projects and expert-led learning. Participants will work independently on research problems similar to those tackled by HRT researchers while learning about diverse trading strategies, machine learning, and large-scale computational modeling. The program is ideal for students interested in mathematics, computer science, statistics, physics, machine learning, and related quantitative disciplines who want to explore careers in quantitative finance. Internship Benefits Selected interns will receive: US$5,800 weekly base salary Company-paid housing in New York City Meals provided throughout the program Access to HRT’s state-of-the-art compute cluster Mentorship from experienced quantitative researchers Independent quantitative research projects Technical talks and networking events Social activities exploring New York City What Interns Will Do During the three-week program, participants will: Learn about multiple quantitative trading styles from industry experts Conduct independent quantitative research projects Train and evaluate models using HRT’s advanced computing infrastructure Attend technical presentations and research discussions Connect with researchers and fellow PhD students through networking and social events Eligibility Criteria Applicants must meet the following requirements: Be a full-time PhD student Graduate between Fall 2027 and Summer 2029 Be studying a technical or quantitative discipline, including: Mathematics Physics Computer Science Statistics Machine Learning Related quantitative fields Demonstrate programming experience Have familiarity with Python and/or C++ (preferred) Possess exceptional analytical and problem-solving abilities Have strong communication skills Be enthusiastic about learning quantitative research and technology This internship is specifically intended for candidates without extensive prior experience in the quantitative trading industry. Why This Internship Stands Out Hudson River Trading is internationally recognized for applying scientific research and high-performance computing to algorithmic trading. Interns gain exposure to cutting-edge quantitative methods while working alongside researchers who solve complex mathematical and computational problems at scale. The combination of competitive compensation, intensive mentorship, advanced computing resources, and practical research experience makes this one of the most prestigious winter internships available to PhD students in quantitative fields. How to Strengthen Your Application A competitive application should clearly demonstrate technical excellence and research potential. Highlight research projects involving mathematics, statistics, machine learning, or computational modeling. Showcase strong programming experience, particularly in Python or C++. Include publications, conference papers, or open-source contributions where applicable. Emphasize problem-solving achievements such as competitions or research accomplishments. Ensure your CV clearly states your expected PhD graduation date. Internship Details ItemDetailsHostHudson River Trading (HRT)ProgramPhD Winter Internship 2027LocationNew York City, USADuration3 weeksStart Date4 January 2027SalaryUS$5,800 per weekBenefitsHousing, meals, mentorship, social eventsApplication Deadline16 October 2026 Application Process Interested candidates should submit an online application including their CV, education history, GPA, graduation timeline, and other required information through the official HRT careers portal. Applicants should note that the use of AI tools during interviews or technical assessments is strictly prohibited, unless explicitly authorized by Hudson River Trading. 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