Stock Holding Corporation of India Data Entry Operator Interview Questions and Answers

I had been interviewed on the basis of excel test related to advanced excel tecniques.

Q1. I have been interviewed on the basis of alternative assets, finance etc.
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Q2. Tell me about hedge funds
Ans. 
Hedge funds are investment funds that use various strategies to maximize returns for their investors.
• Hedge funds are typically only available to accredited investors due to their complex and risky nature.

• They often use leverage and derivatives to amplify returns, but this also increases the risk of losses.

• Hedge funds charge both a management fee (usually 2%) and a performance fee (usually 20%) based on profits earned.

• S...read more
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Q1. What is K means
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K-means is a popular clustering algorithm used to partition data points into K clusters based on similarity.
• K-means aims to minimize the sum of squared distances between data points and their respective cluster centroids.

• It requires the number of clusters (K) to be specified in advance.

• The algorithm iteratively assigns data points to the nearest cluster centroid and updates the centroids until convergence.

• K-means is se...read more
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Q2. Type 1 and Type 2 error
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Q1. What motivates you to work at OSB?
Ans. 
I am motivated to work at OSB because of the company's commitment to innovation, growth opportunities, and collaborative work environment.
• Commitment to innovation: I am excited to be part of a company that values creativity and forward-thinking.

• Growth opportunities: I am motivated by the chance to develop my skills and advance my career within the organization.

• Collaborative work environment: I thrive in environments wh...read more
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Q1. Explain your credit risk project
Ans. 
Developed a credit risk project to assess the likelihood of default by analyzing financial data and creating predictive models.
• Collected and cleaned financial data from various sources

• Performed statistical analysis to identify key risk factors

• Built machine learning models to predict credit risk

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. Why do you want to have a role in model validation, since your exp is in model development.
Ans. 
I believe model validation is crucial for ensuring the accuracy and reliability of models, which ultimately impacts decision-making and outcomes.
• Model validation helps identify potential errors or biases in the model

• It ensures the model performs well on new data and in real-world scenarios

• Validation is essential for building trust in the model's predictions

• Experience in model development provides insights into potentia...read more
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UK banking case study was given, submitted my responses over email

Q1. SAS technical questions
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Q2. Work Culture/behavioral questions
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Q1. Questions on functional knowledge
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Summary for two questions (1000 words)

Q1. Another functional one to one discussion
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Q1. Face to face interview
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Q1. HR discussion and salary negotiation
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Q1. What are your skills
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Q2. Why should we hire you
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