Equity Quant Trader Intern: Turn Research Into Real Trades

Citadel LLC

City of Rochester (NY)

Vor Ort

USD 204.750 - 263.900

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Sign-on bonus
Housing stipend
Company-sponsored travel
On-site fitness and meals

Zusammenfassung

Citadel LLC in New York seeks an Equity Quantitative Trader to optimize trading strategies and maximize profitability. You will decide capital allocation, manage risk, and translate research into production strategies that trade real capital with tight coupling to researchers and engineers.

You will own portfolio-level risk, monitor performance across market regimes, and iterate to improve risk-adjusted returns under time constraints in a high-ownership environment.

Qualifikationen

  • Degree in a quantitative field such as statistics, mathematics, computer science or physics.
  • Strong interest in theory with the ability to apply it to markets.
  • Excellent written and verbal communication skills.
  • Self-starter who questions the status quo and learns quickly.

Aufgaben

  • Turn research into production trading strategies with researchers and engineers.
  • Conduct analysis to find alpha opportunities and improve strategies.
  • Manage portfolio-level risk and real-time exposures to protect and grow PnL.
  • Monitor strategy performance and iterate to sustain returns across regimes.

Kenntnisse

Game theory
Optimization
Risk management
Quantitative analysis
Communication

Ausbildung

Bachelor's degree in statistics / mathematics / computer science / physics

Jobbeschreibung

Citadel LLC in New York seeks an Equity Quantitative Trader to optimize trading strategies and maximize profitability. You will decide capital allocation, manage risk, and translate research into production strategies that trade real capital with tight coupling to researchers and engineers.

You will own portfolio-level risk, monitor performance across market regimes, and iterate to improve risk-adjusted returns under time constraints in a high-ownership environment.

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