Glassdoor users rated their interview experience at RBC as 75% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Internship and Analyst rated their interviews as the hardest, whereas interviews for Internship and Analyst roles were rated as the easiest.
The hiring process at RBC takes an average of 16 days when considering 4 user submitted interviews across all job titles. Candidates applying for Intern had the quickest hiring process (on average 10 days), whereas Analyst roles had the slowest hiring process (on average 21 days).
First interview was a phone interview with HR recruiter before meeting with the hiring manager and finally a panel of two other product managers as a final check.
Most interviews followed standard behavioral and situational questions.
Interview questions [1]
Question 1
Standard behavioral questions like tell me about yourself.
Very bad interviewing experience. Got ghosted after 6 rounds of interviews. No explanation or returned emails from both the hiring team and the HR Recruiter. I do not recommend working here.
This comprehensive collection contains 30 carefully crafted technical interview questions specifically designed for RBC (Royal Bank of Canada) Data Science internship and graduate full-time positions. Each question is aligned with RBC's business priorities, technological stack, and the real-world challenges that data scientists at RBC encounter daily.
Interview questions [1]
Question 1
Explain the bias-variance trade-off in machine learning. How does it relate to overfitting and underfitting? Provide an example of how you would manage this trade-off in a model for predicting loan defaults