J'ai postulé via un recruteur. Le processus a pris 3 semaines. J'ai passé un entretien chez Capital One en oct. 2021
Entretien
Recruiter reached out to me to have a chat about whether I'd be interested in applying for a role at Capital One. After that is where the bulk of the interview process was:
1. online coding assessment with 4 problems and a 70 minute time limit - completing all is not required, you just need to get some minimum passing score and quality consistent code. Once you pass, you'll move onto scheduling the "Power Day."
2. Power Day Part 1: Algorithm Technical - count the number of primes (same as leetcode)
3. Power Day Part 2: System Design - design a smart meter system for an apartment complex
4. Power Day Part 3: Behavioral - 3 questions... tell me about a time when priorities changed and how you handled it, you successfully overcame a blocker and completed the task on time, and you had to work with someone difficult on your team and how to made it workable.
5. Power Day Part 4 - Technical Case - talked about pros and cons of capital one investing in a virtual chat system powered by machine learning (ML), what kind of data would be useful to feed that ML model, walked through some code that creates a lost of most recent event from a table, and how you would handle updating the code to support reading a different amount of events based on the object
I was rejected a few days after the power day via an email that just read "Thank you for your interest... [but] we’ve decided to move forward with other candidates at this time." No real feedback from a recruiter about how the process went. It would be nice to show empathy and reject someone with a personal email from the recruiter and give feedback on how it all went from the other perspective.
Questions d'entretien [6]
Question 1
count the number of primes up to and including N
(204 on leetcode)
design a smart meter system that measures the electricity usage and reports the measurement every minute to a central service. tents and building managers should be able to view this data on a website while being able to view it by hour, day, week, month, and any interval in the past.
What are some pros and cons of capital one investing in a virtual chat bot and what kind of data would be useful to feed the machine learning model for it?
4 rounds of interview including coding , design , case study, behavioral after clearing the code signal assesment. Coding was medium hard of 2 questions each. case study and system design was difficult.
This took a bit longer than expected, stretching over several weeks. The technical rounds were intense, featuring an LRU cache implementation and a problem on detecting duplicate transactions within a 60-second window. I was nervous at first, but it clicked for me when I realized I had practiced a similar approach on PracHub just days before. Unfortunately, I didn’t receive an offer in the end, but the experience was a solid learning opportunity. The behavioral questions felt straightforward, so I wish I had made a stronger impression in the technical segments.
Questions d'entretien [2]
Question 1
Implement an LRU cache with get and put operating in O(1)
Un proceso largo, pero sin mucha complicación en el proceso. Empresa atenta en todo momento a dudas y disponibilidad de tiempo para las entrevistas. Exámenes con temas sencillos y complejos. Variedad en los ejercicios