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12 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

2027 Emerging Markets and Delta One Quantitative Researcher/Strat Intern

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
trainee
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
China
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
2027 Emerging Markets and Delta One Quantitative Researcher/Strat Intern (Quantitative Trading): Developing predictive signals and quantitative trading research in Hong Kong with an accent on alternative data, algorithmic prediction, trade execution, portfolio construction, and risk management. Focus on formulating, backtesting, and validating hypotheses, analyzing real-world datasets, and building research platforms.

Location: Hong Kong, Hong Kong

Company

hirify.global is a global multi-manager hedge fund investing across Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income strategies through proprietary technology, infrastructure, and risk analytics.

What you will do

  • Contribute to quantitative research and strat platform development and/or alpha research.
  • Understand fundamental-domain economics and derive insights from alternative data.
  • Identify differentiating factors and design novel predictive signals.
  • Backtest and validate research hypotheses using real-world datasets.
  • Contribute to algorithms for prediction, trade execution, portfolio construction, risk management, product modelling, and asset modelling.
  • Collaborate with senior researchers and developers across quantitative trading projects.

Requirements

  • Currently pursuing a BSc, MSc, or PhD in a quantitative or technical field such as statistics, economics, mathematics, physics, electrical engineering, or computer science, ideally with one or two years remaining.
  • Excellent programming skills in Python, C, C++, Java, SQL, or R.
  • Strong knowledge of probability and statistics, including machine learning, time-series analysis and forecasting, pattern recognition, NLP, and unstructured data analysis.
  • Ability to communicate research ideas clearly and succinctly.
  • Creative problem-solving skills and experience working with real-world datasets.
  • Strong attention to detail.
  • Submit a CV/resume in English.

Nice to have

  • Previous financial industry experience, although it is not required.
  • An advanced degree in a quantitative or technical field.

Culture & Benefits

  • Collaborative, teamwork-oriented environment where ideas are encouraged at all levels.
  • Learning and educational offerings with opportunities to make an impact.
  • Internal networks, external partnerships, and service initiatives supporting inclusion and community.
  • Culture focused on continual learning, innovation, and ambitious goals.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны

Если Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого. Π­Ρ‚ΠΎ мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ Β«ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡΒ» ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’