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Barclays Shared Services

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10+ Anvation Labs Interview Questions and Answers

Updated 24 Aug 2024

Q1. Tell something about SOX(Sarbanes Oxley Act)

Ans.

The Sarbanes-Oxley Act (SOX) is a US federal law enacted in 2002 to protect investors by improving the accuracy and reliability of corporate disclosures.

  • SOX was introduced in response to accounting scandals such as Enron and WorldCom.

  • It requires public companies to establish and maintain internal controls to ensure accurate financial reporting.

  • SOX mandates independent audits of financial statements by external auditors.

  • It holds CEOs and CFOs personally responsible for the acc...read more

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Q2. What are the core values of Barclays?

Ans.

The core values of Barclays are integrity, respect, excellence, and stewardship.

  • Integrity: Barclays values honesty, transparency, and ethical behavior in all aspects of its operations.

  • Respect: Barclays promotes a culture of diversity, inclusion, and treating everyone with fairness and respect.

  • Excellence: Barclays strives for excellence in delivering innovative solutions, exceptional service, and superior performance.

  • Stewardship: Barclays is committed to being a responsible an...read more

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Q3. What is risk and why is it necessary to have a risk function for an organisation

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Q4. How to improve efficiency of models

Ans.

Improving model efficiency involves feature selection, hyperparameter tuning, and ensemble methods.

  • Perform feature selection to reduce dimensionality and focus on relevant features

  • Optimize hyperparameters using techniques like grid search or random search

  • Utilize ensemble methods like bagging or boosting to improve model performance

  • Consider using more advanced algorithms like deep learning for complex data patterns

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Q5. Can you say about any recent macro economic event that has impact on bank and the economy

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Q6. What is the role of Risk weighted assets for a bank

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Q7. What is regression , classification

Ans.

Regression is a statistical method to predict continuous outcomes, while classification is used to predict categorical outcomes.

  • Regression is used when the target variable is continuous, such as predicting house prices based on features like size and location.

  • Classification is used when the target variable is categorical, like predicting whether an email is spam or not based on its content.

  • Regression models include linear regression, polynomial regression, and logistic regres...read more

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Q8. Hyper parameters for classification algorithms

Ans.

Hyper parameters are settings that are set before the learning process begins and affect the learning process itself.

  • Hyper parameters are not learned during the training process, but are set before training begins.

  • They control the learning process and impact the performance of the model.

  • Examples include learning rate, number of hidden layers, and batch size in neural networks.

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Q9. How would you support irritated clients ?

Ans.

I would listen to their concerns, empathize with them, and offer solutions to resolve their issues.

  • Listen actively to their complaints and concerns

  • Empathize with their situation and show understanding

  • Offer solutions to resolve their issues

  • Follow up with them to ensure their satisfaction

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Q10. What do you know about customer service

Ans.

Customer service involves providing assistance and support to customers to ensure their satisfaction and resolve any issues they may have.

  • Customer service is about understanding and meeting the needs of customers

  • It involves effective communication and active listening to understand customer concerns

  • Customer service aims to provide prompt and accurate information or solutions

  • It requires empathy and patience to handle difficult or upset customers

  • Customer service can be provided...read more

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Q11. What is main purpose of Aml

Ans.

AML's main purpose is to prevent and detect money laundering and terrorist financing.

  • Preventing and detecting money laundering

  • Preventing and detecting terrorist financing

  • Identifying and reporting suspicious activity

  • Complying with regulatory requirements

  • Protecting the reputation of the institution

  • Conducting due diligence on customers and transactions

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Q12. Detect and held to prevent illegal activity

Ans.

As an AML Analyst, I would detect and prevent illegal activity by analyzing transactions, conducting investigations, and reporting suspicious activity to authorities.

  • Analyze transactions for any suspicious activity

  • Conduct investigations to gather evidence

  • Report any suspicious activity to authorities

  • Stay up-to-date with AML regulations and best practices

  • Collaborate with other departments to prevent illegal activity

  • Implement and monitor AML policies and procedures

  • Use technology...read more

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Q13. Explain Hadoop architecture?

Ans.

Hadoop architecture is a distributed computing framework for processing large data sets across clusters of computers.

  • Hadoop consists of HDFS (Hadoop Distributed File System) for storage and MapReduce for processing.

  • HDFS divides data into blocks and stores them across multiple nodes in a cluster.

  • MapReduce is a programming model for processing large data sets in parallel across a distributed cluster.

  • Hadoop also includes YARN (Yet Another Resource Negotiator) for resource manage...read more

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Q14. Unix commands for permissions

Ans.

Unix commands for permissions

  • chmod - change file mode bits

  • chown - change file owner and group

  • ls - list directory contents with permissions

  • umask - set default file permissions

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Q15. Hadoop vs spark difference

Ans.

Hadoop is a distributed storage system while Spark is a distributed processing engine.

  • Hadoop is primarily used for storing and processing large volumes of data in a distributed environment.

  • Spark is designed for fast data processing and can perform in-memory computations, making it faster than Hadoop for certain tasks.

  • Hadoop uses MapReduce for processing data, while Spark uses Resilient Distributed Datasets (RDDs) for faster processing.

  • Spark is more suitable for real-time proc...read more

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Q16. What is credit risk

Ans.

Credit risk is the risk of loss due to a borrower's failure to repay a loan or meet contractual obligations.

  • Credit risk is the risk that a borrower will default on a loan or debt obligation.

  • It is the potential loss that a lender may suffer if a borrower fails to make payments.

  • Factors that contribute to credit risk include the borrower's credit history, financial stability, and economic conditions.

  • Lenders use credit scores and credit reports to assess credit risk before lendin...read more

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