J'ai postulé en ligne. Le processus a pris 1 jour. J'ai passé un entretien chez Wells Fargo (Charlotte, NC) en oct. 2022
Entretien
The interview consisted of a single comprehensive round, beginning with behavioral questions to assess teamwork, communication, and problem‑solving skills, and then shifting to in‑depth technical questions on machine learning—such as logistic regression details—and coding efficiency considerations.
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Wells Fargo (Charlotte, NC) en févr. 2021
Entretien
It was honestly an awesome process, and in my opinion how an interview should be. Process took around 3 months. Initial phone screen followed by a multi-day final round superday interview (due to COVID). The superday consisted of a take-home data analysis task followed by a presentation of that analysis and technical questions. Very friendly interviewers and overall very positive experience.
Questions d'entretien [1]
Question 1
How would you assess the accuracy of tree-based models?
When would regularization techniques be appropriate and what are some of the common methods?
J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Wells Fargo (Charlotte, NC) en nov. 2019
Entretien
Wells Fargo Phone Interview – Quantitative Analytics Program – Capital Market Track
This is a phone interview and the interview started in November 2019 at charlotte. The questions are not very difficult. Some statistics problems and some stochastic process problems
Questions d'entretien [1]
Question 1
Expected number of rolls to get all 6 numbers of a die