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FactSet Content Marketer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 27 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
69.2% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at FactSet.

Showing 3 of 27
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Content Manager

Marketing · more than a year ago

Mid Easy Negative experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Panel Offer
Interview formats
Behavioral Technical Presentation

I applied for a job but didn't hear back for a while. Then, a recruiter contacted me about a different role that sounded interesting, so I went in for an interview. On the same day, I was asked if I'd like to interview for another position, and I agreed. The first part involved two separate one-on-one interviews where my resume wasn't reviewed, and the questions weren't relevant. The second set of interviews was similar, with two more one-on-one rounds. One interviewer joined because their colleague had to work from home. The experience was the same. As I was leaving, the recruiter mentioned a third job that seemed like a perfect fit. I never heard back about the first two jobs, even after a follow-up email. For the third job, I had a phone interview the day after the in-person ones. The following week, I met two people via video conference in the office. The final round was with a senior person. I got an offer, but the job turned out to be quite different from what the recruiter described. Also, the recruiter and boss seemed to forget my start date, so no one was around for my first two weeks. It was quite strange.

Confirmed questions1 question
  • Have you managed people from different cultural backgrounds before?
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FactSet

Content Analyst

Analytics

Entry Easy Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

I applied online and got a phone interview within 2 days. The interviewer was a bit late, calling 8 minutes after the scheduled time. The interview started with a few questions: why I applied, if I had location constraints (I said no), and about my work authorization (I'm on OPT). The interview ended abruptly because they don't hire OPT candidates, which was frustrating given they didn't filter this beforehand. My advice to OPT students applying to Factset is to confirm if they hire OPT for the specific role.

Confirmed questions3 questions
  • What motivated your application for this role?
  • Are there any geographical restrictions you need to consider?
  • Could you please state your current work authorization?
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FactSet

Content Analyst

Analytics

Entry Easy Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Coding Technical Behavioral

It started with a self-introduction. The interviewer was mainly focused on Python. You should be fully prepared on your resume regarding projects and internships. Practice solving the most repeated interview questions from LeetCode. The interview was easy, and they were helpful if we made mistakes, allowing us to correct them easily.

Confirmed questions7 questions
  • Could you design a function to remove duplicates from an integer array while keeping the original order?
  • What's the difference between a package, a library, and modules?
  • Can you write a Python function called filter_and_average that takes a list of numbers and a threshold, and returns the average of numbers less than the threshold?

FactSet Content Marketer Interview Questions

Quoted word for word from FactSet interview reports.

Can you write a Python function called filter_and_average that takes a list of numbers and a threshold, and returns the average of numbers less than the threshold?

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Could you design a function to remove duplicates from an integer array while keeping the original order?

Read reports

What's the difference between a package, a library, and modules?

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Can you explain the differences between lists, tuples, sets, and dictionaries?

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Can you explain financial terms such as bonds and stocks?

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What are your thoughts on data cleaning and which Python libraries do you use for it?

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Are there any geographical restrictions you need to consider?

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Could you discuss economics and finance-related questions, including concepts and theory?

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Formats, difficulty and experience

Across all 27 FactSet interview reports.

Interview formats

Behavioral 52.9%
Technical 39.2%
Coding 2%
Case 2%
Other 2%

Interview difficulty

Easy 33.3%
Average 59.3%
Difficult 7.4%

Candidate experience

Positive 69.2%
Neutral 15.4%
Negative 15.4%