Stevens Capital Management LP

Position ID: 1814-QRA [#13899]
Position Title: Quantitative Research Analyst
Position Type: Government or industry
Position Location: Philadelphia, Pennsylvania 19087, United States [map]
Application Deadline: (posted 2019/05/06, listed until 2019/11/06)
Position Description:    

*** the list date or deadline for this position has passed. ***

Stevens Capital Management LP (“SCM”) is a registered investment adviser that manages a multi-billion dollar 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 skills and a thorough understanding of economics and finance, along with the necessary combination of creativity, resourcefulness, pragmatism and attention to detail to develop successful automated trading strategies.

Primary Responsibilities

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

    Requirements

  • A degree in economics or finance, with extensive coursework in quantitative disciplines or a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) with extensive coursework in economics or finance.
  • 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, knowledge and experience are preferred.
  • The ability to simplify and effectively communicate complex concepts.

    To apply directly to this job, please visit: https://grnh.se/0a977aa61


  • This employer is not accepting applications for this position through Mathjobs.Org. Please see the job description above on how to apply.
    Email:
    Postal Mail:
    201 King of Prussia Rd, Suite 400
    Radnor, PA
    19087
    USA
    Web Page: www.scm-lp.com

    © 2019 MathJobs.Org, American Mathematical Society. All Rights Reserved.