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Arcesium Associate Interview Questions and Answers

Updated 8 Jun 2021

Arcesium Associate Interview Experiences

1 interview found

Associate Interview Questions & Answers

user image Anonymous

posted on 8 Jun 2021

I applied via Naukri.com and was interviewed before Jun 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Financial domain

Interview Preparation Tips

Interview preparation tips for other job seekers - Listen to questions and only answer that.Dont get overexcited.Take a deep breath

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Jan 2025.

Round 1 - HR 

(2 Questions)

  • Q1. Can you please introduce yourself?
  • Q2. Why are you seeking a job change?
Round 2 - One-on-one 

(2 Questions)

  • Q1. Can you describe your past professional experience?
  • Q2. What process did you follow while working on your last project?
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed before Feb 2024.

Round 1 - Assignment 

Basic speaking test, english

Round 2 - Technical 

(1 Question)

  • Q1. What is your analysis of the graphs?
Round 3 - HR 

(1 Question)

  • Q1. Org fit check questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Sep 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

Which is related to subject questions from pharma

Round 2 - Technical 

(2 Questions)

  • Q1. Related to pharma, drug classifications
  • Q2. Resume regarding questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Again pharma questions
Round 4 - HR 

(1 Question)

  • Q1. Package related questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Prime numbers,reverse a string

Round 2 - Technical 

(1 Question)

  • Q1. DSA, python,java questions
Round 3 - HR 

(1 Question)

  • Q1. Company policy,work culture
Interview experience
4
Good
Difficulty level
Easy
Process Duration
6-8 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy

Round 2 - Communication 

(1 Question)

  • Q1. The test was condected by AI overall the round is easy
Round 3 - Technical 

(1 Question)

  • Q1. They asked questions about my project and basic question in java
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc

Round 2 - Coding Test 

A question related to Binary search and some other follow ups.

Associate Interview Questions & Answers

CitiusTech user image Kshitija Bagul

posted on 10 Sep 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain random forest
  • Ans. 

    Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.

    • Random forest is a type of ensemble learning method.

    • It builds multiple decision trees during training.

    • Each tree is built using a subset of the training data and a random subset of features.

    • The final prediction is made by averaging the predictions of all the individual trees.

    • Random...

  • Answered by AI
  • Q2. What is boosting
  • Ans. 

    Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.

    • Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.

    • Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

    • Boosting is used to improve the accuracy of models and reduce bias and variance.

  • Answered by AI

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

There is online aptitude test as they followed

Round 3 - Assignment 

It is also a online assessment with some technical questions

Round 4 - HR 

(1 Question)

  • Q1. About your certificates enquiry and location you require etc
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(5 Questions)

  • Q1. Reason for switch
  • Q2. Job satisfaction
  • Q3. Salary negotiation
  • Q4. Domain expertise
  • Q5. Comfortable for shift timing

Arcesium Interview FAQs

How to prepare for Arcesium Associate interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Arcesium. The most common topics and skills that interviewers at Arcesium expect are Accounting, Collateral Management, Corporate, Excel and Financial operations.

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Arcesium Associate Salary
based on 74 salaries
₹5 L/yr - ₹12.1 L/yr
28% more than the average Associate Salary in India
View more details

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3.9/5

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4.2

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4.3

Company culture

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Promotions

3.6

Work satisfaction

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