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JPMorgan Chase & Co.
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Referral and was interviewed in Jul 2024. There were 2 interview rounds.
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I applied via Referral and was interviewed in Nov 2021. There were 5 interview rounds.
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JPMorgan Chase & Co. interview questions for designations
I applied via Approached by Company and was interviewed before Apr 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
Clustering groups similar data points together based on features, while segmentation divides data into distinct groups based on predefined criteria.
Clustering is unsupervised learning, while segmentation is typically a supervised process.
Clustering is used in data mining and machine learning to discover patterns, while segmentation is often used in marketing to target specific customer groups.
Examples of clustering alg...
Segment customers based on travel habits, preferences, and spending patterns to offer a tailored travel friendly credit card.
Segment customers by frequency of travel (e.g. frequent flyers, occasional travelers)
Segment customers by preferred travel destinations (e.g. domestic vs international)
Segment customers by travel spending habits (e.g. luxury travelers, budget travelers)
Offer benefits and rewards tailored to each
I was interviewed in Aug 2024.
posted on 20 Jul 2023
I applied via Recruitment Consulltant and was interviewed in Jan 2023. There were 3 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Mar 2023. There were 2 interview rounds.
Liquidity risk refers to the risk that a company or financial institution may not be able to meet its short-term financial obligations.
Liquidity risk is the risk that an entity may not have enough liquid assets to meet its short-term liabilities.
It can arise from mismatches between assets and liabilities, sudden withdrawals of funds, or inability to sell assets quickly.
Examples include a bank facing a sudden surge in w...
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