Stevens Capital Management LP

Position ID: 1814-QRA2 [#15880]
Position Title: Quantitative Research Analyst
Position Type: Government or industry
Position Location: Philadelphia, Pennsylvania 19087, United States [map]
Application Deadline: (posted 2020/04/13, listed until 2020/10/13)
Position Description:    

Stevens Capital Management LP (“SCM”) is a registered investment adviser that manages a hedge fund that has been in business for 30 + years. SCM specializes in the rigorous development and disciplined implementation of empirically based quantitative trading strategies. Our highly productive team works in a fast-paced collegial environment, utilizing extensive data sets, technology and the scientific method to devise and employ trading strategies throughout the world’s most liquid financial markets. We're seeking highly driven, production-oriented researchers who possess strong technical and quantitative skills, along with the necessary combination of creativity, resourcefulness, pragmatism and attention to detail to develop successful automated trading strategies.

Primary Responsibilities

  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

    Requirements

  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts. To apply directly to this job, please visit: https://grnh.se/0a977aa61

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    Email:
    Postal Mail:
    201 King of Prussia Rd, Suite 400
    Radnor, PA
    19087
    USA
    Web Page: www.scm-lp.com

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