Quantitative Trading Internship — Build Alphas & Mentorship

Trading Interview

Pennsylvania

Hybrid

USD 34.000 - 62.000

Vollzeit

vor 15 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Susquehanna International Group (SIG) offers a Quantitative Systematic Trading Intern role. You will model the work of full-time staff, participate in a broad education program, and receive mentorship from top professionals while building alphas on an actual trading strategy.

Ideal candidates are in a Masters program in quantitative fields, strong in data-driven analysis, and capable of collaborating in a fast-paced environment. Training and exposure to multiple teams are provided.

Qualifikationen

  • Masters in mathematics, physics, statistics, electrical engineering, computer science, OR economics.
  • Analytical problem-solvers with strong data-to-decision skills.
  • Clear communication in a fast-paced, collaborative environment.
  • Experience with Python; C++ is a plus.

Aufgaben

  • Model market behavior and generate alphas using probabilistic and statistical methods.
  • Develop trading ideas and execute them in simulated environments.
  • Backtest ideas with historical data and refine strategies.
  • Explore various quant domains and collaborate across teams.
  • Participate in the education program with mentorship from senior staff.
  • Engage with multiple teams to gain broad exposure to Susquehanna's business.

Kenntnisse

Python
C++

Ausbildung

Master's degree in quantitative fields

Jobbeschreibung

Susquehanna International Group (SIG) offers a Quantitative Systematic Trading Intern role. You will model the work of full-time staff, participate in a broad education program, and receive mentorship from top professionals while building alphas on an actual trading strategy.

Ideal candidates are in a Masters program in quantitative fields, strong in data-driven analysis, and capable of collaborating in a fast-paced environment. Training and exposure to multiple teams are provided.

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