JP Morgan Chase Interview Questions

Mohammad shahid S. - " Not Setting up the right expectation with users so that they come prepared and plan for application. Users should be informed in advance about the document required, kind of questions they can expect and average time they are going to spend. Inform about the money too if there is an application fee. Too many questions where users are suppose to write paragraphs Seeking sensitive mandatory information Reality is different from expectation setting Too long to too much time consum"See full answer

Rick E. - " O(n) time, O(1) space from typing import List def maxsubarraysum(nums: List[int]) -> int: if len(nums) == 0: return 0 maxsum = currsum = nums[0] for i in range(1, len(nums)): currsum = max(currsum + nums[i], nums[i]) maxsum = max(currsum, max_sum) return max_sum debug your code below print(maxsubarraysum([-1, 2, -3, 4])) `"See full answer

Hadrien M. - "Walk through user need and discovery, GTM process, beta planning, execution and measurement, results and learnings"See full answer

Anonymous Hummingbird - "I started going through the different main area of focus stakeholder alignment with Product and engineering; resource alignment getting it into the backlog and then prioritization spoke about Sprint planning and timelines and timely communication back to stakeholders to be on track for this end to end demo / pilot options (but HM already wasn't too happy about the response and asked me the Question again)"See full answer

Vineet S. - "This is phased approach and would consist below steps Initiation - Identify Business Goals and Drivers, Perform TCO Analysis, Compliance Assessment and then formulating strategy Prepare: Develop Require Skill sets and roles and Technical Cultural Training through CoE, Collaboration with partners and internal stakeholders Assess: Conduct workshops, understand Application Realms and identify the cloud candidates OKRs and App Roadmap Execute: Learn, Design, Implement, Document, Depl"See full answer

Shivam S. - "We utilized AI and ML to improve the product’s accuracy and performance and to generate insights from customer data. We also leveraged the cloud to store and manage customer data securely. Additionally, we implemented smart assistants to automate customer support and help customers quickly resolve inquiries."See full answer

Anonymous Stork - "AWS"See full answer

Bit P. - "Testing"See full answer