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20 часов назад

Quantitative Campus Recruiter

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 Campus Recruiter (Mathematical Recruiting): Building and executing university recruiting strategies for quantitative campus programmes with an accent on candidate assessment, university relationships, and recruitment events. Focus on evaluating probability and logic skills, scaling campus outreach, and using recruiting data and trends to improve hiring decisions.

Location: Onsite in Bala Cynwyd, Pennsylvania, in the Philadelphia area

Company

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

What you will do

  • Drive the vision, strategy, and execution of university-level recruiting programmes.
  • Interview and assess quantitative campus candidates using probability and logic questions.
  • Define annual campus hiring needs and strategies with hiring managers.
  • Design and deliver campus, careers-fair, onsite, and external recruiting events.
  • Build relationships with universities, candidates, hiring managers, and interviewers.
  • Use recruiting data, statistics, and trends to inform hiring decisions and strategic initiatives.

Requirements

  • Bachelor’s degree with coursework in mathematics or another STEM field.
  • At least one year of professional work experience.
  • Ability and willingness to learn quantitative interviewing methods.
  • Strong event-planning skills and evidence of successful event execution.
  • Strong candidate-relationship, interviewing, communication, analytical, and strategic-thinking skills.
  • Strong sense of urgency and emotional intelligence.

Culture & Benefits

  • Intellectually driven and highly collaborative environment.
  • Opportunity to work with researchers, engineers, and traders.
  • Exposure to quantitative research, machine learning, and systematic trading.
  • Immediate start.

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