Systematic Quant Researcher - Alpha Trading

Acquire Me

New York (NY)

Vor Ort

USD 180.000 - 320.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Acquire Me is seeking a Quantitative Researcher to join a leading systematic trading team in New York. You will develop alpha strategies for mid-frequency US equities and work closely with portfolio construction and risk management.

You bring 5+ years of alpha-generation experience, a strong quantitative background (Master's or PhD), and advanced Python skills. First-year compensation is guaranteed, with performance-sharing in subsequent years.

Qualifikationen

  • 5+ years of alpha-generation experience.
  • Master's or PhD in a highly quantitative discipline.
  • Experience developing systematic signals, predictive models or trading strategies.
  • Strong understanding of portfolio construction/optimisation.
  • Strong statistical and mathematical foundations.
  • Advanced Python skills.

Aufgaben

  • Research and develop systematic alpha strategies across mid-frequency US equities.
  • Work across portfolio construction, optimisation and risk.
  • Partner directly with the Portfolio Manager on research and trading decisions.
  • Take strategies from research through deployment and live trading; analyse strategy performance with PnL.
  • Build towards greater ownership of risk and potentially managing your own book.

Kenntnisse

Alpha generation
Quantitative analysis
Portfolio optimization
Statistical foundations
Python programming

Ausbildung

Master's degree or PhD in a quantitative discipline

Tools

Python

Jobbeschreibung

Acquire Me is seeking a Quantitative Researcher to join a leading systematic trading team in New York. You will develop alpha strategies for mid-frequency US equities and work closely with portfolio construction and risk management.

You bring 5+ years of alpha-generation experience, a strong quantitative background (Master's or PhD), and advanced Python skills. First-year compensation is guaranteed, with performance-sharing in subsequent years.

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