Data Science
Data Science
Data is the lifeblood of most hedge funds as it provides insightful information when collected in various forms and sources. It generates new investment ideas, used to explore market trends, tested to predict the outcome of trading strategies before generating alpha. Hedge funds will often experiment with data and will commonly explore “alternative data.”
TYPICAL INTERVIEW PROCESS
1
Online coding test
2
Technical Phone Screen
3
Final Round
Tips
Assessments commonly consist of knowledge in the disciplines of statistics (probability, variance, covariance, correlations), hypothesis testing, mathematics (calculus, stochastic, differentiation, integration), data analysis and the fundamentals of computer science.
The quintessential technical programming skills are Python (Scientific libraries; NumPy, Numba, SciPy, Matplotlib, Pandas, Xarray and Rpy2), C++ and MATLAB and R. Master’s or PhD degree in mathematics, statistics, computer science or a similar quantitative field is highly desirable.