FactSet Interview Questions, Process, and Tips

Q1. Explain oop concepts
Ans. 
OOP is a programming paradigm based on the concept of objects, which can contain data in the form of fields and code in the form of procedures.
• OOP focuses on creating objects that interact with each other to solve problems.

• Encapsulation: Objects can hide their internal state and require interactions through defined interfaces.

• Inheritance: Objects can inherit attributes and methods from other objects.

• Polymorphism: Objec...read more
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Q1. PartitionBy vs bucketBy in spark
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Q1. Difference Between public and private comapnies
Ans. 
Public companies are listed on stock exchanges and have shares available for public trading, while private companies are not listed and have limited shareholders.
• Public companies have shares that are traded on stock exchanges, allowing for public ownership and trading.

• Private companies are not listed on stock exchanges and have limited shareholders, often including founders, employees, and private investors.

• Public comp...read more
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There was 1hr 30 mins test with questionnaire from basic aptitude, accounts , reasonings etc

We were told to submit a ppt on factset

Q1. Your introduction
Ans. 
I am a recent graduate with a degree in Business Administration and a passion for leadership and problem-solving.
• Recent graduate with a degree in Business Administration

• Passionate about leadership and problem-solving

• Strong communication and interpersonal skills

• Experience in team projects and extracurricular activities
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Q2. Basic accounting
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Q1. What is t test?
Ans. 
T test is a statistical test used to determine if there is a significant difference between the means of two groups.
• T test is used to compare the means of two groups to see if they are significantly different.

• It is commonly used in hypothesis testing to determine if there is a significant difference between two sample means.

• There are different types of t tests such as independent samples t test, paired samples t test, ...read more
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Q2. What is central limit theorem?
Ans. 
Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
• Central Limit Theorem is a fundamental concept in statistics that states that the distribution of sample means approximates a normal distribution, regardless of the shape of the original population distribution.

• It is important in inferential statistics as it allows us to make infe...read more
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Q1. What is auc roc curve?
Ans. 
AUC ROC curve is a graphical representation of the performance of a classification model.
• AUC stands for Area Under the Curve and ROC stands for Receiver Operating Characteristic.

• It is used to evaluate the performance of binary classification models.

• The curve plots the true positive rate against the false positive rate at various threshold settings.

• A perfect model would have an AUC ROC score of 1, while a random model w
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Q2. What is gini index?
Ans. 
Gini index is a measure of inequality in a set of values, often used in decision tree algorithms.
• Gini index ranges from 0 (perfect equality) to 1 (maximum inequality).

• It is commonly used in decision trees to determine the impurity of a node.

• A lower Gini index indicates a more homogeneous set of values.

• Formula: Gini Index = 1 - (sum of squared probabilities of each class in the node).
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It includes questions from all areas like account verbal ability no series

Q1. What is golden rules of accounting
Ans. 
The golden rules of accounting are basic principles that guide the process of recording financial transactions.
• The three golden rules of accounting are: Debit what comes in, Credit what goes out, Debit the receiver, Credit the giver, Debit all expenses and losses, Credit all incomes and gains.

• These rules help ensure that financial transactions are accurately recorded and classified in the accounting system.

• For example,...read more
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Q2. What is the role of research analyst
Ans. 
Research analysts are responsible for gathering, analyzing, and interpreting data to provide insights and recommendations for decision-making.
• Conducting research to gather data from various sources

• Analyzing data using statistical techniques and software

• Interpreting findings to provide insights and recommendations

• Preparing reports and presentations to communicate findings to stakeholders

• Staying updated on industry trend
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