Axis Asset Management Company Equity Research Analyst Interview Questions and Answers

Q1. Questions on security maintenance, operations and trade structure.
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Q1. Tell me about yourself
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Q2. What is BRD OR FRD?
Ans. 
BRD stands for Business Requirements Document and FRD stands for Functional Requirements Document.
• BRD outlines the business solution for a project, including the business problem, objectives, and proposed solution.

• FRD details the functional requirements of a project, specifying what the system must do.

• BRD focuses on the 'what' of a project, while FRD focuses on the 'how'.
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Q2. Brd and frd differences
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BRD stands for Business Requirements Document, while FRD stands for Functional Requirements Document. BRD focuses on high-level business objectives, while FRD details specific functionalities.
• BRD outlines the business problem and goals, while FRD specifies how the system will meet those goals.

• BRD is more focused on the 'what' of the project, while FRD is focused on the 'how'.

• BRD is typically created by business stakeho...read more
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It was related to finance domain

Easy based on. Data interpretation, finance domain

Q1. Tell me about yourself
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Q2. Why you want to join bse
Ans. 
I want to join BSE to gain exposure to the financial markets and contribute to the growth of the organization.
• Opportunity to work in a prestigious financial institution

• Desire to analyze market trends and make informed investment decisions

• Passion for contributing to the growth of the organization

• Interest in gaining exposure to the financial markets
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Logical Reasoning and Quantitative analysis

Case Study on MF investment analysis

Q1. Data frame making in python
Ans. 
Data frame making in Python involves creating a structured table-like data structure using the pandas library.
• Use the pandas library to create a data frame

• Data frames are 2-dimensional labeled data structures with columns of potentially different types

• Data frames can be created from dictionaries, lists, numpy arrays, or other data frames

• Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
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Q2. Random forest basic questions
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Q1. No questions asked
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Q2. No questions are asked
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Q3. No questions asked as doesnt want to interview
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