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Urgent! Quantitative Researcher Job Opening In Manhattan – Now Hiring Point72

Quantitative Researcher



Job description

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.

  • The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package.

    Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.



    Required Skill Profession

    Mathematical Science Occupations



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