It was an online assessment on Code Signal that was on a Jupyter Notebook that involved data cleaning and model construction, and model evaluation. This was following a resume submission.
Preguntas de entrevista [1]
Pregunta 1
Build any prediction model given some data that needs to be cleaned.
Code test is not too hard but highly time-sensitive — like a mini data science project requiring quick EDA, modeling, prediction, and concise analysis. Accuracy, clarity, and efficiency matter most.
Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en Walleye Capital (Boston, MA) en ago 2025
Entrevista
Fairly standard 45 minute interview about a variety of statistical questions. We first spent 15 minutes where he asked me several questions about my research background. After that we jumped into several questions about measuring a models performance, trading strategies, and pure probability.
Preguntas de entrevista [1]
Pregunta 1
If you have a skewed data distribution with only 10 true positives and 190 true negatives, how would you measure your predictive model's performance.