
Morgan Stanley Data Analyst Interview
As a Data Analyst at Morgan Stanley, you are tasked with explaining a sharp daily P&L swing and determining if surveillance flags tied to abnormal trading activity are signal or data-quality noise.
8 minutes
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Questions that have appeared at morgan-stanley for an engineering (Case Study) interview.
1. System Design
Question: Can you propose a design for a distributed system that can handle a large number of transactions per second?
Question: How would you design a system to detect fraudulent financial transactions in real-time?
Question: How would you approach designing a system for the secure storage and retrieval of sensitive client data?
2. Project Management
Question: Describe a project you led where there were significant challenges. How did you overcome them?
Question: Can you discuss a time when you had to balance multiple projects with conflicting priorities? How did you manage it?
Question: How would you handle a situation where a key project is behind schedule?
3. Data Management
Question: Given a large dataset of financial transactions, how would you design a data analytics solution to derive meaningful insights?
Question: How would you design a data storage system to ensure data integrity and reliability?
Question: How would you handle a situation where collected data is inconsistent or incomplete?
4. Quality Assurance
Question: Can you describe a time when you found a critical bug during the testing phase of a project? How was it addressed?
Question: How do you ensure the quality of a product in a fast-paced delivery environment?
Question: Can you discuss a case where your attention to detail prevented a potential problem?
5. Risk Management
Question: Can you describe a time when you identified a potential risk in a project and how you mitigated it?
Question: Can you discuss a situation where you had to make a decision with incomplete information?
Question: How would you handle a situation where a major risk to a project becomes a reality?
About This Interview
Interview Type
PRODUCT SENSE
Difficulty Level
4/5
Interview Tips
• Research the company thoroughly
• Practice common questions
• Prepare your STAR method responses
• Dress appropriately for the role