The successful candidate will have a genuine interest in investing, from researching ideas and testing them on historical data to seeing which specific stocks and broad-based factors a portfolio buys and sells resulting from those ideas. This candidate also approaches new data and ideas with an open mind and has a strong belief in the scientific research process
A PhD in a quantitative discipline.
Experience conducting empirical research utilizing large, complex data sets
Financial market experience: asset pricing, portfolio optimization, macroeconomics, global stock selection, or a similar relevant field
Familiarity with natural language processing, machine learning, and/or artificial intelligence.
Strong programming skills, either from a data pipeline background (AWS, Hadoop, Spark, SQL), and/or statistical analysis background (Python, R, Matlab, ML libraries).
They will consider any experience level for this role.
Please send a PDF resume to email@example.com