SBI Securities Product Executive Interview Questions and Answers

• Q1. Tell me about yoursely
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• Q1. 5 P’s of marketing
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• Q1. RCA - Questions _ Feedback - process
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• Q1. Fitment Questions - Basic background + CV
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• Q1. Data science questions
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Tell me about yourself.
[Please note that I stands for Interviewer and C stands for Candidate]

C - Standard prepared answer

I- Asked how I used data in my work experience (As my work ex revolved around data analytics)

Explained the relevance of data at my firm and how it is used. Now he jumped to the situation-based questions.

Situation 1:

I- How will you identify whether a person who had earlier defaulted on paying the credit card dues can now pay assuming we have all the data sources?

C- 1. Reduced it to know if the person has the ability to pay or not.

2. Broke it down to 2 things: Expenditure and Savings.

3. For savings, we can look at bank balance and earnings. Then deep dived into how can we know these things.

4. For Expenditure, I broke it into necessity and luxury and then looking at how can we identify these.

Situation 2:

I- Suppose you have to open a store for musical instruments and you have access to all the data, what all sources of data can you think of and how will they be relevant?

C- 1. Firstly, I started by looking at some direct connection to the music industry like previous purchase of musical instruments they have made or their affiliation with some music-related society.

2. Listed 5-6 different ways but the interviewer kept on asking for more so then shifted to indirect connections like time spent on TV watching music channels. Listed 4-5 indirect ways and the interview ended.


It was a 20 min round with 8 min for each of the situation.

I- How will you build an IPL fantasy team for a match using the Cricbuzz data?
[Please note that I stands for Interviewer and C stands for Candidate]

C- 1. I asked about constraints like there are only 100 points.

2. Decided on a structure for the team to be made: 4 batsmen, 1 keeper, 3 bowlers, 3 all-rounders.

3. Reduced it into a utility maximization problem where each player will have some utility and cost associated with them. Now I had to devise a method to tell about the utility of each player as costs are already given.

4. Started with batting, listed various factors.

5. Then I deep dived into each factor as in how to quantitatively represent the data for every factor.

It went on for around 25 min and the entire interview revolved around this particular case.

It was a aptitude test consisting of questions from - SQL, DSA, C/C++ and aptitude

The topic given to us was "UPI vs Credit Card"

• Q1. Questions were basically resume based
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• Q2. My resume has PYTHON and SQL mentioned on it, so my interview was mainly based on these.
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• Q1. Strength and weakness
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• Q2. Introduce yourself, etc
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• Q1. How AMEX makes money?
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• Q2. How AMEX is different from Visa/Master card?
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• Q1. Strengths or Weakness
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5 sections - Quant, DI LR, English, Stats and Big fata coding

• Q1. Based on Resume and past experience
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• Q2. Situation based question - how to risk profile credit card customers
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• Q3. Python based basic coding question
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• Q1. Resume based question
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• Q2. Questions about Machine Learning
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• Q3. Leadership questions
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