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6 часов назад

Quantitative Researcher - Prediction Markets

200 000 - 300 000$
Формат работы
onsite
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 - Prediction Markets (Python/ML): Developing predictive models and systematic trading strategies for rapidly evolving prediction markets with an accent on statistical modeling, market data analysis, and rigorous backtesting. Focus on researching market microstructure and execution, analyzing noisy datasets, and translating validated research into live production trading systems.

Location: New York, United States

Annual base salary: $200,000–$300,000, plus an annual discretionary bonus.

Company

hirify.global is a diversified trading firm using proprietary capital and technology to operate across global financial markets and non-traditional strategies.

What you will do

  • Develop predictive models and trading signals using statistical and machine learning methods.
  • Analyze large, noisy datasets to identify market opportunities and inefficiencies.
  • Research pricing, market making, market microstructure, execution, and risk management in prediction markets.
  • Evaluate strategies through quantitative research, backtesting, and simulation.
  • Build analytical tools to monitor performance and improve live strategies.
  • Collaborate with traders and engineers to deploy validated research into production trading systems.

Requirements

  • 2+ years of experience in quantitative research, systematic trading, data science, or a related field.
  • Degree in mathematics, statistics, computer science, engineering, physics, economics, or another quantitative discipline.
  • Strong knowledge of probability, statistics, and quantitative modeling.
  • Experience researching large, real-world datasets and strong programming skills, particularly in Python.
  • Ability to independently drive open-ended research problems and rigorously test and validate results.
  • Ability to communicate complex ideas and collaborate effectively with traders, researchers, and engineers.

Nice to have

  • Systematic or electronic trading experience.
  • High-frequency or short-horizon signal research experience.
  • Probabilistic forecasting or machine learning experience.
  • Strategy backtesting, performance analysis, or production deployment experience.

Culture & Benefits

  • Autonomous environment with high expectations, intellectual curiosity, and a willingness to challenge consensus.
  • Medical, pharmacy, dental, and vision insurance.
  • 401(k) with discretionary employer match.
  • Short- and long-term disability, life and AD&D insurance.
  • Health savings and flexible spending accounts.

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