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6 дней назад

2027 Quantitative Research Intern (Machine Learning)

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

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TL;DR
2027 Quantitative Research Intern (Machine Learning): Developing predictive signals, machine learning models, and research tools for systematic trading with an accent on alternative data, statistical analysis, and financial markets. Focus on building data pipelines, validating and backtesting strategies, and solving real-world quantitative research problems alongside traders, researchers, and developers.

Location: Hong Kong, Hong Kong

Company

hirify.global is a global multi-manager hedge fund using proprietary technology, infrastructure, and risk analytics across quantitative, tactical, fundamental equity, and discretionary macro and fixed-income strategies.

What you will do

  • Conduct quantitative research to develop predictive signals from alternative data and improve machine learning models.
  • Contribute to research platforms, data pipelines, validation tools, and backtesting infrastructure.
  • Work with traders, researchers, and developers to present research findings.
  • Complete a meaningful project addressing a real-world challenge in systematic trading.

Requirements

  • Pursuing a Master's degree or PhD in a quantitative field.
  • Strong coding skills and a good understanding of database usage.
  • Strong foundation in probability, statistics, and time-series analysis.
  • Curiosity, skepticism toward research results, and clear communication skills.

Culture & Benefits

  • Three- to six-month internship, including the summer.
  • Hands-on experience on a real project rather than a synthetic exercise.
  • Direct mentorship from senior researchers, portfolio managers, and a dedicated manager.
  • Learning sessions, practical skills workshops, and opportunities to connect with senior leaders.
  • Competitive compensation and a potential path to a full-time role.
  • Collaborative environment with educational offerings, internal networks, external partnerships, and service initiatives.

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