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9 дней назад

Quantitative Sports Researcher (Sports Analytics)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
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 Sports Researcher (Sports Analytics): Building statistical forecasting models and quantitative trading strategies for sports betting with an accent on empirical research, large-scale data analysis, and model implementation. Focus on testing ideas with industry data, translating research into trading systems, and validating models through hands-on trading insight.

Location: Dublin, Ireland

Company

hirify.global operates a Sports Analytics team that develops statistical forecasting models and trading strategies for the sports betting industry.

What you will do

  • Conduct sports analytics and quantitative trading research.
  • Test research ideas empirically using real industry data.
  • Write programs to implement statistical models and trading strategies.
  • Collaborate with researchers, traders, and technologists.
  • Trade with the team to understand how models are applied and how traders operate.
  • Support off-hour coverage, including occasional evening or weekend shifts, during model deployment and testing.

Requirements

  • Strong quantitative and analytical skills with a background in mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics.
  • Excellent logical reasoning and problem-solving abilities.
  • Exceptional written and verbal communication skills.
  • Experience writing code to process and analyze large datasets.
  • Demonstrated experience with sports analytics or other quantitative projects.
  • Intermittent international travel may be required.

Nice to have

  • Advanced degree in a quantitative field.
  • Knowledge of NFL, NBA, MLB, NHL, NCAAF, NCAAM, soccer, tennis, or golf.
  • Trading experience.

Culture & Benefits

  • Flexible start date.
  • Work alongside specialists in mathematics, gaming, technology, research, and trading.
  • Opportunity to work with real industry data and production trading models.

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