Candidatei-me online. Fui entrevistado pela Capital One (Richmond, VA) em mai. de 2017
Entrevista
Found the job role through LinkedIn. Contacted by recruiter after 10 days submitting my resume. Scheduled 30mins quick phone call for knowing each other. Recruiter asked me about python,SQL experience and also explained what is the difference between data analyst and data scientist. Next round will be coding challenge on HackerRank. 2 SQL and 2 general programming questions.(75mins) This round is easy no worries. After that, I got my data challenge dataset. Enough time(1 week) to do comprehensive analysis about the dataset.(not difficult but time-consuming) Pass rate won't be very high this round. Last round will be on-site. 2 case+1 behavioral+1 data challenge presentation. Capital one's case interview is different from Big 3's. They are less structured but more quantitative intensive.(tons of numbers) I think its ok if you made some little mistakes during calculation(I forgot *12 months when I calculate yearly profits) interviewer will give you hint to correct it, but you need to express your thought well organized. Behavioral questions can be found in this site all same.
After that, 1-hour lunch with other members of the line of business and the other candidates . I got a feedback that I am a recommend for hire very quickly like 2 hours later.
Capital one's hiring process is clear and decent. Having lots of fun!
Fiz uma entrevista na empresa Capital One (McLean, VA).
Entrevista
Started with an OA, and then proceeded to data challenge, and afterwards it was Power Day which had 4 rounds of interview. 2 of them were more problem-solving, and one of them was walking through the data challenge
Perguntas de entrevista [1]
Pergunta 1
In one of the rounds I was a given a question related to debit/credit card
Candidatei-me por meio de uma faculdade ou universidade. Fiz uma entrevista na empresa Capital One (Plano, TX).
Entrevista
1) CodeSignal proctored test. Tests analytical prowess and SQL. Time is tight, with increasingly difficult questions. You have to pass to move on.
2) Data Challenge. Python coding challenge to answer 5 questions. You need to merge/ clean your dataset and make a recommendation. You present it during power day.
3) Powerday. 4 interviews back to back. 2 case interviews, 1 behavioral interview, 1 data challenge interview.
Powerday 4 rounds back to back. One data challenge presentation , two cases and one behavior round. Overall easy and it was a nice experience. Interviewers responded the follow up questions detailedly.