Quantitative Research Analyst
Remote
Confirmed live in the last 24 hours
Stevens Capital Management

11-50 employees

Quantitative hedge fund manager using empirical trading strategies
Company Overview
Stevens Capital Management LP (SCM) stands out as a leading quantitative hedge fund manager, leveraging robust technology and data infrastructure to implement empirically based trading strategies. With over three decades of industry experience, SCM maintains a competitive edge through its 24-hour low-latency global operations and proprietary execution algorithms. The firm's commitment to fostering talent in quantitative financial research and C++ development further underscores its dedication to technical innovation and industry leadership.
Quantitative Finance
Financial Services

Company Stage

N/A

Total Funding

N/A

Founded

2002

Headquarters

Wayne, Pennsylvania

Growth & Insights
Headcount

6 month growth

4%

1 year growth

-4%

2 year growth

-2%
Locations
Villanova, PA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Data Analysis
CategoriesNew
Quantitative Analysis
Quantitative Research
Quantitative Finance
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.
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.