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American Express Interview Questions and Answers
219 Interview questions
Identify gamers through targeted outreach and provide sentinel options for engagement and support.
Utilize social media platforms like Twitch and Discord to connect with gamers.
Host gaming events or tournaments to attract and engage the gaming community.
Create surveys or polls to gather insights on gamer preferences and needs.
Offer sentinel options such as in-game rewards or exclusive content to enhance player expe...
Unutilized credit card limits are recorded as a liability in accounting, reflecting available credit.
Unutilized credit card limits are not recorded as an asset or liability until used.
Example: If a credit card has a limit of $10,000 and $2,000 is used, the unutilized limit is $8,000.
In financial statements, only the utilized amount is reflected as a liability.
Monitoring unutilized limits helps in assessing credit ...
The ML model development lifecycle involves stages from problem definition to deployment and monitoring of the model.
1. Problem Definition: Identify the business problem and define objectives. Example: Predicting customer churn.
2. Data Collection: Gather relevant data from various sources. Example: Customer transaction records.
3. Data Preprocessing: Clean and prepare data for analysis. Example: Handling missing va...
Major sources of revenue include sales, investments, and service fees, crucial for financial health and growth.
Sales Revenue: Income from selling goods or services, e.g., retail sales or product sales.
Service Revenue: Earnings from providing services, e.g., consulting or maintenance services.
Investment Income: Returns from investments, e.g., dividends, interest, or capital gains.
Licensing Revenue: Fees earned from...
What people are saying about American Express
Discount revenue recognition involves recording revenue after accounting for discounts offered to customers.
Revenue is recognized when earned, even if discounts are applied later.
For example, if a product sells for $100 with a $10 discount, revenue recognized is $90.
The accounting entry would debit Cash/Accounts Receivable and credit Sales Revenue.
Discounts can be classified as sales discounts or trade discounts, ...
Major expenditures in the profit and loss account include costs directly impacting profitability, such as COGS and operating expenses.
Cost of Goods Sold (COGS): Direct costs of producing goods sold, e.g., raw materials and labor.
Operating Expenses: Regular expenses for running the business, such as rent, utilities, and salaries.
Selling, General and Administrative Expenses (SG&A): Costs related to selling produ...
American Express HR Interview Questions
Card fees are recorded as expenses in the financial statements, impacting net income and cash flow.
Card fees are typically recorded as an expense in the income statement under 'Bank Charges' or 'Merchant Fees'.
For example, if a business incurs a $100 card processing fee, it will debit 'Bank Charges' and credit 'Cash' or 'Accounts Payable'.
If the fees are significant, they may be tracked separately for better finan...
Data imbalance can skew model performance; various techniques can help mitigate its effects.
Resampling techniques: Use oversampling (e.g., SMOTE) or undersampling to balance classes.
Use different evaluation metrics: Focus on precision, recall, or F1-score instead of accuracy.
Implement cost-sensitive learning: Assign higher misclassification costs to minority class errors.
Utilize ensemble methods: Techniques like R...
The ROC curve plots true positive rate against false positive rate to evaluate classifier performance.
X-axis: False Positive Rate (FPR) - the ratio of negative instances incorrectly classified as positive.
Y-axis: True Positive Rate (TPR) - the ratio of positive instances correctly classified as positive.
Example: A model with a TPR of 0.9 and FPR of 0.1 indicates high sensitivity but some false alarms.
The ROC curve...
Random Forest is an ensemble method using bagging, while XGBoost uses boosting for improved accuracy and speed.
Random Forest builds multiple decision trees and merges them for better accuracy.
XGBoost optimizes the model by sequentially adding trees that correct errors of previous ones.
Random Forest is less prone to overfitting compared to individual decision trees.
XGBoost includes regularization techniques to prev...
American Express Interview Experiences
391 interviews found
Anonymous
I applied via Campus Placement
Interview Questionnaire
3 Questions
- Q1. Seating Arrangement
- Q2. In a desert you have infinite fuel stocked at a place, and you have a car which gives 1 mile per litre., desert is 100 miles long, and car can hold 20 litres, how to reach the end in most optimized way.
- Q3. Life in IIT
- Ans.
Life in IIT is challenging yet rewarding.
Academic rigor is high with a focus on practical learning
Students are encouraged to participate in extracurricular activities
Hostel life is an integral part of the experience
Networking opportunities with alumni and industry professionals
Opportunities for research and innovation
Competitive environment fosters growth and development
Interview Preparation Tips
Experience: They shortlisted pretty much everyone who took a probability course.
Tips: Well, take a probab course.
Round: Test
Experience: This was an Online test, consisting of questions from logical reasoning and probability. IMHO, it was very easy to score full marks in the test, but i am not very sure if they considered it for the final interview shortlist.
Tips: Brush up on probability, esp inferential statistics et al.
Duration: 30 minutes
Total Questions: 30
Round: Technical Interview
Experience: The usual Run-Me-Through-Your-Resume happened. I found the interview very interesting and quite challenging. It first started with a simple question in combinatorics, the interviewer kept adding incremental questions to the first problem until it became something interesting,a Poisson process, afaik.
They also asked me to calculate square roots of certain numbers by hand correct to 3 decimal places.
Tips: Think out loud. And clarify your queries as they come. I asked for a few hints then and there, and they obliged. I think they look at your thinking process more than the mistakes you commit during the interview, which may simply arise due to fear and/or lack of confidence.
Round: Technical Interview
Experience: This was a standard puzzle question.I told them I had seen this before so they modified it a little, and i used back tracking to arrive at the answer.
2-3 small puzzles later, they asked me about my previous internships, esp about one which was in the domain of ML and Computer Vision. They asked me what problems i faced and how i over came them.
After this, they started telling me about the profiles available, they asked me if I had any questions for them. The interviewers were very friendly, and they were sharing some anecdotes as well.
Tips: Pay attention to the PPT/Profile Summary document/Campus Talk. If you are interested in Analytics, its better to do some project or internship in that area, before hand, a small reality check to gauge your interest in Analytics. They ask for a knowledge of Python/SAS/Hive/Excel. Do mention if you have used any of these at some point of time to handle big data or to do data processing.
Round: HR Interview
Experience: This was the final interview, though the order isn't always followed. They asked me about my life before college and now. Asked me about my peer group, professors, environment in general.
Some personal questions followed. And, finally they asked me for a location preference, and that was it.
Tips: Well, just talk naturally.
General Tips: Dress formally. And keep a smiling face.
Skills: Maths(esp Probability), Basic Aptitude Topics Like Combinatorics
Duration: 2
College Name: IIT Madras
Motivation: Their profile was good based on feedback from seniors, and I was interested in the field, so I applied.
I appeared for an interview in Apr 2025, where I was asked the following questions.
- Q1. Tell me about yourself?
- Q2. What are the GenAI industry trends? ChatGPT vs DeepSeek high level discussion.
- Ans.
GenAI trends focus on advancements in AI models, with ChatGPT and DeepSeek showcasing different applications and capabilities.
Increased adoption of conversational AI in customer service, exemplified by ChatGPT's integration into various platforms.
DeepSeek focuses on specialized knowledge retrieval, enhancing search capabilities in niche domains like legal or medical fields.
Emergence of hybrid models combining generativ...
- Q3. ML question: Random Forest vs XGBoost
- Ans.
Random Forest is an ensemble method using bagging, while XGBoost uses boosting for improved accuracy and speed.
Random Forest builds multiple decision trees and merges them for better accuracy.
XGBoost optimizes the model by sequentially adding trees that correct errors of previous ones.
Random Forest is less prone to overfitting compared to individual decision trees.
XGBoost includes regularization techniques to prevent o...
- Q4. ML question: Classification vs Regression
- Ans.
Classification predicts categories, while regression predicts continuous values in machine learning tasks.
Classification: Assigns labels to data points (e.g., spam vs. not spam).
Regression: Predicts numerical values (e.g., house prices based on features).
Classification algorithms include logistic regression, decision trees, and SVM.
Regression algorithms include linear regression, polynomial regression, and regression t...
- Q5. ML question: How does one handle data imbalance in a dataset?
- Ans.
Data imbalance can skew model performance; various techniques can help mitigate its effects.
Resampling techniques: Use oversampling (e.g., SMOTE) or undersampling to balance classes.
Use different evaluation metrics: Focus on precision, recall, or F1-score instead of accuracy.
Implement cost-sensitive learning: Assign higher misclassification costs to minority class errors.
Utilize ensemble methods: Techniques like Random...
- Q6. ML question: When to use accuracy, precision, recall? How to identify the classification model's performance using above three? F score, ROC area under the curve.
- Q7. ML question: What are the X and Y axis of ROC curve?
- Ans.
The ROC curve plots true positive rate against false positive rate to evaluate classifier performance.
X-axis: False Positive Rate (FPR) - the ratio of negative instances incorrectly classified as positive.
Y-axis: True Positive Rate (TPR) - the ratio of positive instances correctly classified as positive.
Example: A model with a TPR of 0.9 and FPR of 0.1 indicates high sensitivity but some false alarms.
The ROC curve help...
- Q8. SQL questions: Employee and department table; 1. Salary of employees with salary > avg salary 2. Salary of employees with salary > avg salary of department 3. Salary of top 3 employees with salary > avg sa...
- Q9. Any other questions for us?
Interview Preparation Tips
(1 Question)
- Q1. Everything about Agile methodology - which method do you use, what is sprint velocity, how do you push it in the team, conflict resolution etc. Every question was theoretical - they didnt even ask about my...
(1 Question)
- Q1. Another round of basic scenario based questions.
Interview Preparation Tips
There were three coding questions.
(5 Questions)
- Q1. Could you provide a thorough explanation of the project?
- Q2. OOps Concepts and question from the technical subjects
- Q3. Why Spring Boot
- Q4. JWT Authentication
- Q5. Docker and Kubernetes
I appeared for an interview in Jan 2025.
(2 Questions)
- Q1. 4-5 SQL questions- Max price, categories in a retail store, no. of products bought per customer, joins, basic python
- Q2. Guesstimate: no. of amex credit card users in India. Follow up questions to test business acumen and understanding of the business
- Ans.
Estimating the number of American Express credit card users in India based on business acumen
Consider the market share of American Express in India compared to other credit card companies
Analyze the population size and income levels in India to estimate the potential number of credit card users
Look at the growth trends in the credit card industry in India to make a projection
Consider the marketing strategies and partne...
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed in Aug 2024. There were 3 interview rounds.
(7 Questions)
- 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...
- 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
- Q3. Technology questions such as how API works and your experience in working with data?
- 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...
- 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
- 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
- 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...
(4 Questions)
- Q1. Logical Questions - Check out Geeks for Geeks Puzzles and memorise them all or atleast understand logic for each
- Q2. 3 ants around a triangle problem
- 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
- 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
(4 Questions)
- Q1. Behavioural questions
- Q2. How will you manage work life balance?
- 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.
- 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
Interview Preparation Tips
Skills evaluated in this interview
Avisha
I appeared for an interview in Jun 2025, where I was asked the following questions.
- Q1. Basic accounting questions
- Q2. What is the entry for unutilized cc limit
- Ans.
Unutilized credit card limits are recorded as a liability in accounting, reflecting available credit.
Unutilized credit card limits are not recorded as an asset or liability until used.
Example: If a credit card has a limit of $10,000 and $2,000 is used, the unutilized limit is $8,000.
In financial statements, only the utilized amount is reflected as a liability.
Monitoring unutilized limits helps in assessing credit avail...
- Q3. Tell me about the company
- Ans.
The company is a leading innovator in technology solutions, focusing on enhancing user experience and operational efficiency.
Founded in 2005, the company has grown to serve over 1 million customers worldwide.
It specializes in software development, offering products like CRM systems and cloud solutions.
The company has received multiple awards for its commitment to sustainability and corporate social responsibility.
Recen...
Interview Preparation Tips
(1 Question)
- Q1. Java, Hadoop, Pyspark Questions
(1 Question)
- Q1. Questions on current work experience
Selected
I appeared for an interview before Jul 2024, where I was asked the following questions.
- Q1. Walkthrough of Career Journey
- Ans.
A detailed overview of my professional journey, highlighting key experiences and growth in leadership roles.
Started as a junior developer at XYZ Corp, where I learned the fundamentals of coding and teamwork.
Progressed to a mid-level developer role, leading small projects and mentoring interns, which sparked my interest in leadership.
Transitioned to a team lead position at ABC Inc., where I successfully managed a team o...
- Q2. Conflict management situation based
Data Science Analyst Interview Questions & Answers
Haifa Nisar Desai (B20BB013)
posted on 13 Jan 2025
(1 Question)
- Q1. Explain Backpropagation
- Ans.
Backpropagation is a method used in neural networks to update the weights by calculating the gradient of the loss function.
Backpropagation involves calculating the gradient of the loss function with respect to each weight in the network.
The gradient is then used to update the weights in the network in order to minimize the loss function.
This process is repeated iteratively until the network converges to a set of weight...
2 easy level dsa ques
(2 Questions)
- Q1. A simple 2d matrix ques
- Q2. Ques on computer networks and projects
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