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9 часов назад

Quantitative Researcher (Mid-Freq)

175 000 - 300 000$
Тип работы
fulltime
Грейд
middle
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
Quantitative Researcher (Mid-Freq) (Statistical Arbitrage): Developing mid-frequency systematic trading strategies from large, noisy datasets with an accent on statistical research, alpha generation, portfolio optimization, and trade execution. Focus on prototyping strategy components, building production code in Python, and solving complex problems in algorithmic trading.

Location: New York, NY, United States

Salary: $175,000–$300,000 per year, plus discretionary performance-based bonuses and benefits.

Company

hirify.global applies a scientific approach to financial markets through systematic trading, advanced research, and sophisticated computing infrastructure.

What you will do

  • Develop mid-frequency systematic trading strategies using rigorous statistical methods and diverse datasets.
  • Generate alpha through novel predictions of market behavior.
  • Research and prototype strategy components, including portfolio construction and optimization.
  • Design and implement trade execution algorithms.
  • Productionalize research ideas by writing reliable code.
  • Collaborate with quantitative researchers to develop and refine trading models.

Requirements

  • 3+ years of prior stat-arb work experience required.
  • Degree in statistics, computer science, physics, mathematics, economics, or another quantitative or technical discipline.
  • Exceptional academic credentials and strong attention to detail.
  • Experience conducting research with large, noisy, real-world datasets.
  • Strong numerical programming skills, including Python for data analysis and machine learning.
  • Strong work ethic and ability to work in a fast-paced environment.

Nice to have

  • Experience with C++.

Culture & Benefits

  • Collegial, open, transparent, and non-siloed working environment.
  • Access to sophisticated computing infrastructure for research and development.
  • Collaboration across mathematics, computer science, physics, engineering, media, and technology.
  • Performance-based bonuses and a competitive benefits package.
  • Diverse, inclusive workplace with opportunities to contribute to cutting-edge automation.

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