Quantitative Researcher, Market Signals & Models

Five Rings LLC - Careers

New York (NY)

In loco

USD 270.000 - 330.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Five Rings LLC is seeking an Experienced/Lateral Quantitative Researcher in New York. You will identify new opportunities, build and refine market models, and implement models within our trading systems.

The role emphasizes collaboration with traders and engineers and demands strong mathematical prowess. Requirements include a Bachelor's in a quantitative field, 2+ years building quantitative trading strategies, and proficiency in R or Python for large-scale data analysis.

Competenze

  • Must possess a Bachelor's degree in computer science, economics, mathematics, physics, statistics, or another qualifying field.
  • Minimum of two years' work experience involving the development of quantitative trading strategies in futures and/or equities.
  • Experience conducting data analysis involving large financial datasets to find intraday signals for mid- to high-frequency trading.
  • Proficiency in statistical languages and/or packages in R, python, or similar.

Mansioni

  • Identify new opportunities in the markets we trade.
  • Construct or enhance market models.
  • Develop analyses and simulations.
  • Implement models in our trading systems.
  • Test models in real time.
  • Collaborate with traders and software developers.

Conoscenze

R
Python
Quantitative analysis

Formazione

Bachelor's degree in quantitative field

Descrizione del lavoro

Five Rings LLC is seeking an Experienced/Lateral Quantitative Researcher in New York. You will identify new opportunities, build and refine market models, and implement models within our trading systems.

The role emphasizes collaboration with traders and engineers and demands strong mathematical prowess. Requirements include a Bachelor's in a quantitative field, 2+ years building quantitative trading strategies, and proficiency in R or Python for large-scale data analysis.

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