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6 дней назад

Quantitative Researcher Intern, PhD or Postdoc

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore/US/Australia +1 еще
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
Quantitative Researcher Intern, PhD or Postdoc (Algorithmic Trading/Machine Learning): Designing, implementing, and deploying mid- to high-frequency trading algorithms while analyzing market data and market microstructure with an accent on quantitative research, analytical computation, and exchange simulation. Focus on discovering trading patterns, building data analysis tools, calibrating simulators, and developing solutions in C++ or Python.

Location: Singapore, Hong Kong, Shanghai, or Sydney

Company

Quantitative trading firm building electronic trading infrastructure, systematic trading strategies, market data and research systems.

What you will do

  • Design, implement, and deploy mid- to high-frequency trading algorithms.
  • Analyze market data and market microstructure to identify trading patterns.
  • Create tools and analytical computation libraries for market data analysis and trading.
  • Develop, enhance, and calibrate exchange simulators.

Requirements

  • PhD or postdoctoral research in mathematics, statistics, computer science, physics, machine learning, or a related field.
  • Currently in the penultimate or final year of academic study.
  • Proficiency in an object-oriented programming language; C++ and Python are preferred.
  • Working knowledge of Linux or Unix.
  • Strong problem-solving and communication skills, with the ability to manage multiple tasks in a fast-paced environment.
  • Interest in financial markets and new technologies.

Nice to have

  • Previous industry experience.
  • Teaching Assistant experience or participation in relevant Olympiads.
  • Familiarity with machine learning, data analysis, market research, or data modeling.

Culture & Benefits

  • Competitive compensation package.
  • Free breakfast, lunch, and snacks each day.
  • Networking and social events.
  • Learning opportunities with senior management across the firm.
  • Mentorship from alumni and researchers at leading institutions.

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