J'ai postulé en ligne. J'ai passé un entretien chez BMO Financial Group
Entretien
Recruiter round, ML round, Case study which is a take-home assignment, and Final round on case study. All the rounds were online. The recruiter round was basically to understand the salary expectation, openness to relocation and work authorization. ML round was resume and machine learning-based. General interview questions.
J'ai postulé en ligne. J'ai passé un entretien chez BMO Financial Group (Waterloo, ON) en avr. 2026
Entretien
The interview lasted about 1.5 hours and was divided into three parts: ML and recommender systems questions, algorithm and SQL. The questions were medium but the interviewer was friendly and gave enough time to think through the questions.
Questions d'entretien [1]
Question 1
Familiarity with recommender systems and their underlying concepts.
J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez BMO Financial Group en mars 2024
Entretien
There are three rounds, including a data analysis project, and two rounds virtually with team members, questions including stat, machine learning, math and programming, candidate must have relevant experience in data science.
The interview process started with a 30 minute recruiter screen, followed by a technical screening asking SQL and Python questions, followed by a team interview asking a combination of behavioural and technical ML questions.
Questions d'entretien [1]
Question 1
Write a function that takes in a number n and outputs the nth term of the Fibonacci sequence (Python coding question)