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10 часов назад

Campus Quantitative Researcher (PhD, Full-Time) (Fintech)

300 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Campus Quantitative Researcher (PhD, Full-Time) (Fintech): Building predictive models from massive datasets and developing algorithms for automated trading across global financial markets with an accent on statistical analysis, data mining, machine learning, Python, and C++. Focus on designing automated trading strategies, analyzing market mechanics, and combining quantitative research, trading, and software development.

Location: Chicago or New York, United States; campus-based

Base salary: $300,000 per year

Company

hirify.global Group conducts quantitative research and develops technologies for global financial markets.

What you will do

  • Build predictive models from massive datasets.
  • Develop algorithms that automatically execute trades on financial exchanges.
  • Devise automated trading strategies across global markets.
  • Work across quantitative research, data science, trading, and software development.
  • Use statistical analysis, data mining, and a high-performance compute environment to support trading research.

Requirements

  • PhD-level graduate education with exceptional achievement in a technical discipline.
  • Strong programming and/or quantitative analysis skills in areas such as statistics, mathematics, data mining, or machine learning.
  • Reliable and predictable availability.
  • Eligibility to work in the United States; CPT/OPT-eligible international students may apply.

Nice to have

  • Training in computer science or mathematics.
  • Experience with Python, C++, machine learning, or quantitative research.
  • Background in physics, statistics, electrical engineering, operations research, neuroscience, materials science, or another technical discipline.

Culture & Benefits

  • Structured training in trading, programming, market mechanics, statistics, Python, C++, machine learning, and the research process.
  • In-house courses and trading simulations led by experienced researchers, traders, and developers.
  • Private medical, vision, and dental insurance.
  • Travel medical insurance, pension, life assurance, income protection, and paid parental leave.
  • Parking and commuter benefits.

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