Five Rings Quant Interview Questions with Step-by-Step Solutions
In this guide, we’ll walk through two classic quant interview questions asked by Five Rings, breaking down each problem step by step, exploring the statistical and algorithmic concepts involved, and providing clear solutions. Whether you’re preparing for an interview or looking to deepen your understanding of quantitative modeling, these examples offer valuable insight into the skills elite firms are seeking.
You are given five years of daily demand data. After plotting the series, you observe that the mean appears to increase over time. You fit a forecasting model, but the residuals still exhibit a clear pattern. How would you investigate what is going wrong before choosing a different model?
This question tests your knowledge of time series analysis, model diagnostics, and the process of achieving stationarity — a crucial property for most statistical forecasting models. Let’s decompose the steps for investigating what is going wrong:
