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9 дней назад

PhD Winter Internship - 2027 (Quantitative Research)

5 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
PhD Winter Internship - 2027 (Quantitative Research): A three-week in-person introduction to quantitative research through independent projects, trading education, and model training on a high-performance compute cluster with an accent on algorithmic trading, machine learning, and technical research. Focus on training models, solving research problems, and developing programming and quantitative reasoning skills in a New York City office.

Location: In person at the New York City office in New York, United States

Weekly base salary: $5,800, plus company-paid housing, meals, and other perks.

Company

hirify.global applies scientific methods and sophisticated computing systems to algorithmic trading and financial research.

What you will do

  • Learn about a range of trading styles from experienced practitioners.
  • Complete independent research projects representative of quantitative research work.
  • Train models on a state-of-the-art compute cluster.
  • Attend technical talks and participate in social events in New York City.

Requirements

  • Full-time PhD student in a technical or quantitative discipline, graduating between fall 2027 and summer 2029.
  • Relevant fields include mathematics, physics, computer science, statistics, machine learning, or a related program.
  • Demonstrated programming experience; familiarity with Python and/or C++ is preferred.
  • Strong problem-solving and communication skills, with enthusiasm for learning new topics.
  • The program is intended for candidates with little or no quantitative trading experience.

Culture & Benefits

  • Three-week program beginning January 4, 2027.
  • Company-paid housing and meals.
  • Access to technical talks and a research-focused computing environment.
  • Open and collaborative culture focused on innovation, transparency, and diverse expertise.

Hiring process

  • Applications must be submitted by October 16, 2026.
  • AI tools are prohibited during interviews or assessments unless explicitly authorized.

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