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Hybrid Quantitative Researcher bei Point72

Point72 ·  New York, Vereinigte Staaten Von Amerika · Hybrid

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ABOUT CUBIST: 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE:

A systematic US equities PM team is seeking a talented and highly driven entry-level researcher to assist in the development and improvement of their signal library.

RESPONSIBILITIES: 

  • Conduct quantitative signal research and compare results against the current set of alpha signals.
  • Assist in the development of the entire research and trading pipeline from idea generation through to execution.
  • Build production-ready tools to help monitor and debug daily signal generation, portfolio construction, and trade execution processes.
  • Manage day-to-day operations in a fast-paced environment.

REQUIREMENTS:

  • B.S., M.S. or Ph.D. in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • 0-2 years of professional experience in quantitative research and/or development.
  • Demonstrated proficiency in Python and SQL.
  • Experience with equity options pricing models is preferred but not required.
  • Highly detail-oriented.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
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