Quantitative Research Associate

Summary :

We seek a full-time pre-doctoral student / Master Graduate to work as a Quantitative Research Associate. This position is ideal for recent master's graduates looking to develop their research skills to apply to a PhD program.

We are looking for someone who is skilled at data analysis, data cleaning, web scraping and quantitative results analysis (Please next page for specific requirement). Including using software packages such as Python, Stata and R. Python is a critical skillset. They should also have experience conducting statistical analysis on a research project analysing the correlation between social media posts and abnormal stock returns.

This is a full-time position. The company will consider offering a Ph.D. scholarship for the right candidate; terms and conditions apply. Project-based employment is welcome too.

Core Job Objectives :

• Data cleaning : Use python to preprocess raw data, including filling missing timestamps, ensuring the dataset is complete and ready for analysis.
• Data analysis : Conduct the statistical test using Python to analyze the data and identify any significant relationships or trends.
• Web scraping : Employ Python to efficiently scrape web data, specifically targeting titles and their corresponding timestamps.
• Results interpretation : Comprehend and interpret the results of the data analysis, translating complex findings into clear and meaningful insights. Communicate these interpretations effectively.
• Assist with quantitative research projects in finance, strategy, and management.
• Extract data from conventional databases (e.g., CRSP, Compustat, etc.) or hand-collect and clean data from company documents for analysis.
• Manage and clean data using software packages such as Stata, Python, and R. Proficiency in Stata is preferred.
• Conduct statistical data analysis and assisted with interpreting, writing, and disseminating findings.
• Conduct reviews of academic literature.

Requirements :

To Apply :