American Express Interview Questions, Process, and Tips for Freshers

There were three coding questions.

Q1. Could you provide a thorough explanation of the project?
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Q2. OOps Concepts and question from the technical subjects
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Q3. Why Spring Boot
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Q4. JWT Authentication
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Q5. Docker and Kubernetes
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Q1. Work experience and relevance of your resume for Amex
Ans. 
My work experience includes roles in financial services and consulting, providing me with relevant skills for Amex.
• I have worked in financial services for 5+ years, including roles at a major bank and a fintech startup.

• I have experience in consulting, where I worked on projects related to financial analysis and strategy development.

• My resume highlights my expertise in financial modeling, data analysis, and client relat...read more
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Q2. Why change to Amex? What attracted you the most about Amex?
Ans. 
I changed to Amex for its reputation for innovation, strong company culture, and opportunities for growth.
• Reputation for innovation in the financial industry

• Strong company culture focused on employee development and diversity

• Opportunities for career growth and advancement within the company
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Q3. Technology questions such as how API works and your experience in working with data?
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Q4. How you used data management and analytics in your last role?
Ans. 
I utilized data management and analytics to track project progress, identify trends, and make data-driven decisions.
• Implemented data management systems to organize and store project data efficiently

• Utilized analytics tools to analyze project performance and identify areas for improvement

• Generated reports and dashboards to track key metrics and communicate findings to stakeholders

• Used data insights to make informed deci
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Q5. How you can make business decisions from data in your last role?
Ans. 
I used data analysis tools to identify trends, patterns, and correlations to inform strategic business decisions.
• Utilized data visualization tools to present key findings to stakeholders

• Conducted regression analysis to predict future outcomes based on historical data

• Collaborated with cross-functional teams to gather and analyze data from multiple sources
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Q6. How you solved any disagreement with your boss in last role?
Ans. 
I always approach disagreements with a focus on finding common ground and maintaining open communication.
• Listen actively to understand the boss's perspective

• Express my own perspective calmly and respectfully

• Seek a compromise or solution that benefits both parties

• Follow up to ensure the issue is fully resolved
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Q7. How will you approach different teams with requirements as a product manager?
Ans. 
I will approach different teams with requirements by understanding their unique needs, building relationships, and communicating effectively.
• Understand the goals and priorities of each team to tailor requirements accordingly

• Build relationships with key stakeholders to gain buy-in and support

• Communicate clearly and regularly to ensure alignment and address any concerns

• Collaborate with cross-functional teams to ensure al
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Q1. Logical Questions - Check out Geeks for Geeks Puzzles and memorise them all or atleast understand logic for each
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Q2. 3 ants around a triangle problem
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Q3. Find top 3 horses from 25 horses set
Ans. 
To find the top 3 horses from a set of 25 horses, we can sort them based on their performance or rankings.
• Sort the horses based on their performance or rankings

• Select the top 3 horses from the sorted list

• Consider factors like speed, endurance, and previous race results
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Q4. How will you approach conflicts at workplace?
Ans. 
I approach conflicts at workplace by actively listening, understanding all perspectives, and finding a mutually beneficial solution.
• Actively listen to all parties involved in the conflict

• Seek to understand the root cause of the conflict

• Encourage open communication and dialogue

• Find a mutually beneficial solution that addresses the concerns of all parties

• Mediate if necessary to facilitate resolution
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Q1. Behavioural questions
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Q2. How will you manage work life balance?
Ans. 
I prioritize tasks, set boundaries, delegate when necessary, and make time for self-care.
• Prioritize tasks based on deadlines and importance

• Set boundaries by establishing work hours and sticking to them

• Delegate tasks to team members when overwhelmed

• Schedule time for self-care activities like exercise, hobbies, and relaxation

• Communicate with supervisors and colleagues about workload and availability
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Q3. What are the 3 pillars of data management?
Ans. 
The 3 pillars of data management are data quality, data governance, and data security.
• Data quality ensures that data is accurate, complete, and reliable.

• Data governance involves establishing policies and procedures for managing data assets.

• Data security focuses on protecting data from unauthorized access or breaches.
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Q4. How will you solve disputes and disagreements with your manager?
Ans. 
I will approach disputes with my manager by actively listening, seeking common ground, and proposing solutions collaboratively.
• Actively listen to my manager's perspective and concerns

• Seek common ground and areas of agreement

• Propose solutions collaboratively, considering both perspectives

• Maintain professionalism and respect throughout the discussion

• Seek feedback and learn from the experience to prevent future conflicts
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Q1. What is regression
Ans. 
Regression is a statistical technique used to understand the relationship between variables and make predictions based on that relationship.
• Regression helps in identifying the strength and direction of the relationship between variables.

• It is used to predict the value of a dependent variable based on one or more independent variables.

• Common types of regression include linear regression, logistic regression, and polynom...read more
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Q2. What is curse of dimensionality
Ans. 
Curse of dimensionality refers to the issues that arise when working with high-dimensional data, leading to increased computational complexity and sparsity of data points.
• High-dimensional data requires exponentially more data points to maintain the same level of data density.

• Distance between data points becomes less meaningful as dimensions increase, making it harder to interpret relationships.

• Increased computational c...read more
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Data Interpretations, MCQs ,etc

Q1. What is the difference between Bagging and boosting ?
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model c...read more
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Q2. Estimate the number of credit cards in India?
Ans. 
The number of credit cards in India can be estimated based on population, income levels, banking penetration, and consumer spending habits.
• Estimate based on population size and percentage of population with access to banking services

• Consider income levels and consumer spending habits to gauge demand for credit cards

• Look at the number of active credit card users in India and extrapolate to estimate total number of credi...read more
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Q1. What does Analyst do?
Ans. 
Analysts gather, interpret, and present data to help organizations make informed decisions.
• Analyze data to identify trends and patterns

• Create reports and presentations to communicate findings

• Provide recommendations based on data analysis

• Use tools like Excel, SQL, and Tableau for data analysis

• Work closely with stakeholders to understand business needs
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Q2. Basic Puzzle questions
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30 minutes. Reasoning, English, Quant, DI

Q1. 1. Introduce yourself 2. Explain a project (Excel based research project on my CV) 3. How did you clean the data and prepare it for analysis 4. CLRM assumptions 5. Define multicollinearity. Did you find it...read more
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Q1. 1. Why amex 2. what is closed loop model of amex 3. What are the factors that you look into for setting the credit limit of a customer. Give an optimization equation 4. Give an instance of when you have wo...read more
Ans. 
Answers to questions asked in an interview for Management Trainee at Amex
• 1. Amex is a reputed financial services company with a strong focus on customer service and innovation.

• 2. Closed loop model of Amex refers to the fact that Amex issues its own cards, processes transactions, and provides customer service, all within its own network.

• 3. Factors for setting credit limit include credit score, income, debt-to-income rat...read more
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Basic, but have to be quick

Easy to Medium, clear all test cases

Q1. Explain the projects in your resume
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