Nomura Holdings Senior Associate Interview Questions and Answers

Q1. Basic questions on Java and springboot
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Case study type question on handling millions of data

Q1. Salary discussion
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Q1. Tell me about yourself
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Experienced Senior Associate with a background in finance and project management.
• Over 5 years of experience in financial analysis and reporting

• Skilled in project management and leading cross-functional teams

• Strong communication and presentation skills

• Proficient in data analysis and financial modeling

• Previous roles include managing client relationships and driving business growth
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Q2. Tell me a time where you were proud of yourself
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I was proud of myself when I successfully led a team to complete a challenging project ahead of schedule.
• Successfully led a team to complete a challenging project ahead of schedule

• Received positive feedback from team members and superiors

• Demonstrated strong leadership and project management skills
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Q1. Testing framework
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Q2. Cypress vs Selenium
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Cypress is a modern testing tool with built-in features, while Selenium is a widely-used open-source tool with a larger community.
• Cypress is known for its fast test execution and easy setup compared to Selenium.

• Selenium supports multiple programming languages, while Cypress uses JavaScript.

• Cypress has a built-in dashboard for easier test management, whereas Selenium requires additional tools for reporting.

• Cypress has a...read more
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Q3. About projects that I mentioned
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Q1. Automatic script to launch an ecomm website and search a particular product and how to perform pagination and find out a particular product
Ans. 
Use Selenium WebDriver to automate launching an ecomm website, searching for a product, performing pagination, and finding a particular product.
• Use Selenium WebDriver to automate browser actions

• Navigate to the ecomm website URL

• Locate the search bar and enter the particular product name

• Handle pagination by clicking on next page buttons or using page numbers

• Identify the particular product by its unique identifier or attr
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Q2. Page object model explanation
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Page object model is a design pattern used in test automation to create an object repository for web UI elements.
• Separates test scripts from web elements

• Improves code reusability and maintainability

• Enhances test readability and reduces duplication

• Each web page is represented as a class
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Q3. Selenium architecture
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Q1. Scenario Based questions from Leetcode medium difficulty from SQL.
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Q1. Explain regression in matrix form Some questions on stochastic calculus and Black-Scholes derivation
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Q1. Time series methods and details
Ans. 
Time series methods involve analyzing data points collected at regular intervals over time to identify patterns and trends.
• Time series analysis involves studying the past behavior of a variable to forecast its future values.

• Common methods include moving averages, exponential smoothing, and autoregressive integrated moving average (ARIMA) models.

• Time series data can be used in various fields such as finance, economics,
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Q1. Bias variance tradeoff in different tree based algos
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Bias-variance tradeoff is a key concept in tree-based algorithms, balancing model complexity and generalization ability.
• Bias-variance tradeoff refers to the tradeoff between bias (underfitting) and variance (overfitting) in machine learning models.

• Decision trees have high variance and low bias, while ensemble methods like Random Forest have lower variance and higher bias.

• Regularization techniques like pruning can help ...read more
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Q1. Time series methods and details
Ans. 
Time series methods involve analyzing and forecasting data points collected at regular intervals over time.
• Time series analysis involves studying patterns, trends, and seasonality in data over time.

• Common methods include moving averages, exponential smoothing, and ARIMA models.

• Forecasting techniques such as Holt-Winters method and machine learning algorithms can be used for prediction.

• Time series data can be visualized...read more
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Q1. Bias variance tradeoff in different tree based algos
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Bias-variance tradeoff is a key concept in machine learning, especially in tree-based algorithms.
• Bias-variance tradeoff refers to the balance between underfitting (high bias) and overfitting (high variance) in a model.

• Decision trees tend to have high variance and low bias, while ensemble methods like Random Forest aim to reduce variance.

• Regularization techniques like pruning can help reduce overfitting in tree-based al...read more
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