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3 дня назад

Entry Level Quantitative Researcher

175 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Entry Level Quantitative Researcher (Quantitative Trading): Designing predictive signals and improving algorithms for prediction, trade execution, portfolio construction, and risk management with an accent on statistical rigor, machine learning, and quantitative decision-making. Focus on building infrastructure, analyzing imperfect data, investigating edge cases, and managing production systems across the technology stack.

Location: New York, New York, United States

Annual base pay: $175,000–$225,000, prorated based on internship start and end date.

Company

hirify.global is a global multi-strategy, multi-manager investment platform specializing in quantitative trading, fundamental equity, tactical trading, and discretionary macro and fixed income strategies.

What you will do

  • Design novel predictive signals and enhance algorithms for prediction, trade execution, portfolio construction, and risk management.
  • Collaborate with quantitative researchers and developers on projects across the technology stack.
  • Build infrastructure, collect and validate data, conduct machine learning studies, and manage production systems.
  • Work with in-house and open-source libraries and contribute to the growth and diversification of the quantitative trading business.
  • Investigate missing data, outliers, statistical errors, convergence failures, software bugs, and other edge cases.

Requirements

  • Bachelor’s, Master’s, or PhD degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science.
  • Recent graduate or final-year student preferred.
  • Ability to work on projects using C++, JavaScript, Python, Rust, and Go.
  • Willingness to work at any level of the stack and take projects through to completion.
  • Strong intuition for maximizing expected value under imperfect information, risk, and adversarial conditions.
  • Careful, detail-oriented approach to data quality, statistical analysis, software correctness, and production reliability.

Culture & Benefits

  • Immediate access to data and code with opportunities to contribute from the first day.
  • Mentorship and collaboration with experienced researchers.
  • Clear ownership, visibility, and exposure to multiple facets of quantitative trading.
  • Culture centered on ambition, creativity, rigor, hard work, and continuous learning.
  • No previous financial experience is required.

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