Quantitative Research & Trading
Quantitative Research & Trading
Quantitative Research is the stem of all trading strategies that use scientific, mathematical, and statistical models to generate alpha. Models are back tested against historical market data to determine how they would perform under trading conditions using a simulator before live production and trade execution.
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) and data analysis.
The quintessential programming skills are Python, C++, MATLAB, or R. Master’s or PhD degree in mathematics, statistics, computer science or a similar quantitative field is highly desirable.