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2 дня назад

Sports Trader (Sports Analytics)

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
Sports Trader (Sports Analytics): Trading American sports and political products using in-house models and technology with an accent on pregame and in-game strategy execution, quantitative analysis, and market dynamics. Focus on making rapid decisions under pressure, analyzing past decisions, and developing improved trading strategies and features with the quant team.

Location: Onsite in Bala Cynwyd, Philadelphia Area, Pennsylvania, United States

Company

hirify.global is a global quantitative trading firm using scientific research, technology, machine learning, and large datasets to develop systematic trading strategies.

What you will do

  • Trade primarily American sports, including NFL, NBA, MLB, tennis, college football, college basketball, and soccer.
  • Run and maintain pregame and in-game trading strategies to maximize expectancy and other business objectives.
  • Analyze and recap past decision-making to improve future trading performance.
  • Identify notable trading and market dynamics and suggest research areas for the quant team.
  • Develop and discuss strategies and features to improve future trading.

Requirements

  • Bachelor’s degree, preferably in mathematics, statistics, computer science, physics, economics, or another technical discipline.
  • Interest in at least one of NFL, NBA, college football, college basketball, soccer, tennis, or baseball.
  • Exceptional quantitative, logical reasoning, and analytical skills.
  • Ability to work under pressure in a fast-paced environment and remain flexible with hours and schedule.
  • Ability to analyze thought processes, trading situations, and market dynamics for future analysis.
  • Strong interpersonal and communication skills.

Nice to have

  • Knowledge of data manipulation libraries such as Pandas and NumPy.

Culture & Benefits

  • Intellectually driven and highly collaborative environment.
  • Close collaboration among researchers, engineers, and traders.
  • Opportunity to work with systematic trading strategies, machine learning, advanced quantitative research, and large datasets.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

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