A bachelor's or advanced degree in economics, finance, statistics, mathematics, computer science, or a related field providing a background in advanced statistical analysis.
Programming experience, ideally in R, C++, and/or Python.
Strong working knowledge of regression, time series analysis, and other statistical techniques.
Experience in building, organizing, and analyzing large datasets is preferred.
Ability to comprehend and synthesize academic literature in finance, economics, and statistics.
Strong interest in financial markets.
Ability to simplify and effectively communicate complex concepts.
Responsibilities:
Utilize analytical and quantitative skills along with market knowledge to create automated statistical trading models.
Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing datasets, conducting statistical analysis, and implementing trading models.