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Quantitative Research Analyst

Stevens Capital Management LP - Full Time and Internships
Posted 4 months ago, valid for 13 days
Location

Radnor, PA 19087, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are seeking a highly driven and motivated candidate to join our team at SCM with opportunities for in-person, remote, or hybrid work environments, though remote options are not available for residents of New York City or Colorado.
  • The primary responsibilities include utilizing analytical skills to develop and implement automated statistical trading models and participating in research and trading model development.
  • Candidates must possess a bachelor's or advanced degree in a relevant field and have programming experience, ideally in R, C++, and/or Python.
  • Strong knowledge of statistical techniques and experience in building and analyzing large data sets are preferred, along with an interest in financial markets.
  • The salary for this position is competitive, and candidates should have at least 2-3 years of relevant experience.

We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Remote work opportunities are not available to residents of New York City or to residents of Colorado.

 

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.

 




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