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Quantium Graduate Program Interview Questions
& Process

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

Based on 15 interview experiences · FREE TO READ

2.8 Rounds average
Average Typical difficulty
66.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Quantium.

Showing 3 of 15
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Graduate Position

Analytics · more than a year ago

Entry Difficult Positive experience Accept offer 5 rounds
Interview process
Recruiter call Phone screen Technical screen Presentation Group
Interview formats
Behavioral Technical Presentation Group

The process was quite fast, taking around 4 weeks, with very fast response times after each stage. It involved a quick online application through GradConnection, a phone interview, a face-to-face technical interview and then a very extensive assessment centre. Phone interview was standard with behavioural questions centred around "why Quantium" and "why data". The technical interview was a series of interesting questions which tested for lateral thinking and understanding of the analysis and usefulness of data. Assessment centre tested all of the soft skills, such as communication, presentation skills, leadership and teamwork, whilst also testing your thinking and data analysis further with formal "exams", arguably an extension of the technical interview. This was a very enjoyable process and I am thoroughly pleased that I applied.

Confirmed questions1 question
  • How would you approach creating a Happiness Index?
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Quantium

Graduate Position

Other · more than a year ago

Entry Difficult Positive experience No offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Take home Group Presentation Background check Offer
Interview formats
Behavioral Technical Coding Presentation Case

The entire interview process moved pretty quickly, wrapping up in about 2 to 3 weeks. We kicked off with a phone interview, which was pretty standard behavioural stuff. Then there was a 1-on-1 interview that was more technical, and they really wanted to see how fast you could think and explain yourself. The Assessment Centre was a full day, like 8 hours, with breaks for tea and lunch. It was actually pretty fun and chill. We started with an ice-breaker, then a 1-hour exam with 3 questions. After that, there was a super quick 3-minute chat where they asked me to explain my answer to a specific question. In the afternoon, it was the usual case study and presentation. We wrapped up the AC with a personal impromptu speech that was 2 minutes long.

Confirmed questions1 question
  • Can you share what you can learn from a database like the Opal card data?
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Quantium

Graduate Program

Analytics · more than a year ago

Entry Difficult Neutral experience No offer 5 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Group Presentation
Interview formats
Behavioral Technical Coding System Design Case Presentation Group Other

The process started with an application through the GradConnection website, followed by a brief phone interview. Next was a face-to-face technical interview, and the process concluded with an all-day assessment centre. The assessment centre ran from 10:30 AM to 6:00 PM and included a one-hour technical test with three questions (data insights, problem-solving, and lateral thinking), a 40-minute PowerPoint error-checking task, a quick 4-minute face-to-face interview explaining a technical test answer, a group case study with a twist introduced towards the end, followed by a presentation, and finally a 'surprise content' segment where a speech is prepared and delivered with the possibility of the topic changing spontaneously.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

Quantium Graduate Program Interview Questions

Quoted word for word from Quantium interview reports.

Given that you catch pokemon at an average rate of one every 5 minutes, and there are 42 unique types of pokemon, how long would it take for you to catch all of them? Feel free to use any programming method you prefer, but be sure to explain your assumptions.

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Regarding the data presented in the test, would gradient boosting or generalized linear models be the superior choice?

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Can you share what you can learn from a database like the Opal card data?

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What are your thoughts on minimizing mistakes in a work setting?

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Formats, difficulty and experience

Across all 15 Quantium interview reports.

Interview formats

Behavioral 31.1%
Technical 22.2%
Group 13.3%
Case 8.9%
Coding 8.9%

Interview difficulty

Easy 6.7%
Average 60%
Difficult 33.3%

Candidate experience

Positive 66.7%
Negative 6.7%
Neutral 26.7%