KPMG India Associate Consultant Interview Questions, Process, and Tips

I gave my interview during Campus Placement for Associate Consultant in Deal Advisory Services at KPMG Global Services.
First round which was before Resume screening was aptitude test.
Not very difficult basic Maths, English and Logical reasoning.

Q1. Walk me through your CV.
Ans. 
I have a diverse background with experience in consulting, project management, and data analysis.
• Bachelor's degree in Business Administration with a focus on Management

• Worked as a consultant at XYZ Consulting, where I helped clients improve their operational efficiency

• Managed multiple projects simultaneously, ensuring timely delivery and client satisfaction

• Analyzed data to identify trends and provide insights for decis...read more
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Q2. Without the help of internet help me calculate the no. of white cars sold in Mumbai every year. Not the method as to how you calculate the figure.
Ans. 
It is not possible to calculate the number of white cars sold in Mumbai every year without the help of internet.
• Without internet, it is impossible to access the necessary data and statistics.

• The number of white cars sold in Mumbai can vary greatly from year to year.

• Data on car sales is typically collected and analyzed using online platforms and databases.

• Without internet, it is difficult to gather information from car ...read more
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Q3. Tell me how many Reynolds pen are sold in Gurgaon every year.
Ans. 
It is not possible to accurately determine the number of Reynolds pens sold in Gurgaon every year without specific sales data.
• The sales data of Reynolds pens in Gurgaon is not publicly available.

• The number of Reynolds pens sold can vary each year due to factors such as market demand and competition.

• To determine the exact number, one would need access to sales records or conduct a market research study.

• Without specific ...read more
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Q4. What is financial modelling and why do you require it?
Ans. 
Financial modelling is the process of creating a mathematical representation of a financial situation or decision.
• It involves using various financial tools and techniques to analyze and forecast financial performance.

• It helps in making informed decisions about investments, budgeting, and financial planning.

• Examples include creating a cash flow statement, calculating return on investment, and building a financial model
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Q1. While working late at night, you figure out that the data available with you has something missing. You've been working on the data for the last 2 weeks. You don't see any senior around in office to help y...read more
Ans. 
Assess the situation, try to find the missing data, and if not possible, inform the client and senior management.
• Check if the missing data can be retrieved from any other source or system

• If not, assess the impact of missing data on the project and client's requirements

• If the impact is significant, inform the client and senior management immediately

• If the impact is minimal, complete the project with available data and i...read more
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Q2. Once you've tackled this situation you understand that the missing data was a fault of the client. How do you convey it to them?
Ans. 
I would approach the situation with empathy and tact, while clearly communicating the issue and offering solutions.
• Acknowledge the client's frustration and apologize for any inconvenience caused.

• Explain the issue in a clear and concise manner, without placing blame.

• Offer solutions or alternatives to obtain the missing data, such as requesting it from another source or using estimates.

• Ensure the client understands the i...read more
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Q3. What if it was your own mistake?
Ans. 
I would take responsibility for my mistake and take immediate action to rectify it.
• Acknowledge the mistake and take ownership

• Apologize and communicate the mistake to relevant parties

• Analyze the mistake to understand the root cause

• Develop a plan to rectify the mistake

• Implement the plan and monitor progress

• Learn from the mistake to prevent it from happening again
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Q4. What if it was your boss's mistake?
Ans. 
I would approach the situation professionally and respectfully address the mistake with my boss.
• Acknowledge the mistake and gather all relevant information

• Discuss the issue privately with my boss

• Offer potential solutions or suggestions to rectify the mistake

• Maintain a positive and collaborative attitude throughout the conversation
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Q1. Will you be comfortable working in Mumbai?
Ans. 
Yes, I will be comfortable working in Mumbai.
• I am familiar with the city and its culture.

• I have previously worked in Mumbai and enjoyed the experience.

• I am open to new opportunities and challenges in different locations.
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Q2. How do you see your career path at our firm?
Ans. 
I see my career path at your firm as a journey of continuous growth and development.
• I envision myself starting as an Associate Consultant and gradually progressing to higher roles such as Senior Consultant or Manager.

• I am eager to take on new challenges and responsibilities, and I believe your firm provides ample opportunities for professional advancement.

• I plan to enhance my skills and knowledge through training progr...read more
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Basic finance questions were asked

Q1. CV based questions
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Q2. Why KPMG
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Q3. About current affairs. that time, it was about Russia-Ukraine war and oil-gas prices
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Q4. How do i analyse a company's fundamentals
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Q1. Again the question Why KPMG was asked
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Q2. About M&A transactions and Deal advisory
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Q3. Latest deals and something curious or insights/opinion we have about the deal
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Q1. Is Mumbai okay with me as a job location
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Q2. Salary structuring
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Q3. KPMG Values
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Q1. Explain Machine learning lifecycle and what are the deployment options?
Ans. 
Machine learning lifecycle involves data collection, model training, evaluation, and deployment. Deployment options include cloud, on-premise, and edge computing.
• Machine learning lifecycle stages: data collection, data preprocessing, model training, model evaluation, model deployment

• Deployment options: cloud (e.g. AWS, Azure), on-premise servers, edge computing devices (e.g. IoT devices)

• Deployment considerations: scala...read more
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Q2. Questions on NLP covering text preprocessing, word embeddings, sequence based models, RAG workflow.
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Q1. What are the frameworks we can use to train machine learning models?
Ans. 
Frameworks for training machine learning models
• TensorFlow

• PyTorch

• Scikit-learn

• Keras

• MXNet
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Q2. What is your current and expected salary?
Ans. 
I am currently earning $60,000 per year and I am looking for a salary in the range of $70,000 to $80,000 for this position.
• Current salary: $60,000 per year

• Expected salary range: $70,000 - $80,000 per year
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Pseudo code and Aptitude with English test

Q1. Some technical questions depends upon your resume
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Q2. Explain about your projects
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