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Arcesium Senior Analyst Interview Questions, Process, and Tips
Arcesium Senior Analyst Interview Experiences
1 interview found
Anonymous
I applied via LinkedIn and was interviewed in Feb 2021. There was 1 interview round.
Interview Questionnaire
4 Questions
- Q1. Impact of stock split on P&L
- Ans.
A stock split does not have any impact on the P&L of a company.
Stock split increases the number of outstanding shares and reduces the share price proportionally.
The total value of the shares remains the same before and after the split.
The earnings per share (EPS) and the price-to-earnings (P/E) ratio change after the split, but not the total earnings or revenue.
Investors may perceive a stock split as a positive signal ...
- Q2. What Is Total return Swap
- Ans.
A total return swap is a financial contract in which one party agrees to make payments based on the total return of an underlying asset.
Total return swap involves exchanging the total return of an asset or index for a fixed or floating rate of interest
It allows investors to gain exposure to an asset without actually owning it
The party receiving the total return pays a fixed or floating rate of interest to the other par...
- Q3. Mandatory fields to check the bond income in Bloomberg
- Ans.
Mandatory fields to check bond income in Bloomberg
To check bond income in Bloomberg, mandatory fields to be checked are bond identifier, coupon rate, maturity date, and price.
The bond identifier can be ISIN, CUSIP, or Bloomberg ticker.
Coupon rate is the interest rate paid by the bond issuer to the bondholder.
Maturity date is the date when the bond will be redeemed.
Price is the current market price of the bond.
Other opt...
- Q4. What are the mandatory checks in client position file
- Ans.
Mandatory checks in client position file
Client identification information
Position details including quantity and price
Trade date and settlement date
Margin requirements and collateral
Compliance with regulatory requirements
Accuracy and completeness of data
Interview Preparation Tips
Senior Analyst Jobs at Arcesium
Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.
(2 Questions)
- Q1. Project description
- Q2. Architecture diagram of project
(2 Questions)
- Q1. In depth machine learning questions
- Q2. A python coding round
(2 Questions)
- Q1. In depth questions about python programming language
- Q2. Discussed about company
(1 Question)
- Q1. Salary expectations
Interview Preparation Tips
- Machine Learning
I applied via Campus Placement
Group of 8. Topic was digital transformation by AI
(1 Question)
- Q1. Asked questions on stress management and academic scores
Interview Preparation Tips
Some questionaire was provided
(2 Questions)
- Q1. Question about projects
- Q2. Why use MSE metric
- Ans.
MSE metric is commonly used in data analysis to measure the average squared difference between predicted values and actual values.
MSE helps to quantify the accuracy of a model by penalizing large errors more than small errors.
It is easy to interpret as it gives a clear measure of how well the model is performing.
MSE is differentiable, making it suitable for optimization algorithms like gradient descent.
Example: In line...
(2 Questions)
- Q1. Discussion about projects
- Q2. Why use MSE metrics
- Ans.
MSE metrics are commonly used to measure the average squared difference between predicted values and actual values in statistical analysis.
MSE helps in evaluating the performance of a predictive model by quantifying the accuracy of the model's predictions.
It penalizes large errors more heavily than small errors, making it a useful metric for identifying outliers or areas where the model is underperforming.
MSE is widely...
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Aug 2023. There were 4 interview rounds.
Online Coding Assessment on HackerEarth
(1 Question)
- Q1. Questions related to previous experience, projects, DSA (Easy to Medium level)
(1 Question)
- Q1. Questions related to previous experience, data science, project discussions, DSA
(1 Question)
- Q1. Questions on problem solving, pandas, SQL.
I was interviewed in Jul 2023.
(2 Questions)
- Q1. Walk me through your resume
- Q2. What is entropy ? What is gini index? Give a real life example of derivative and second derivative. What is the difference between P-value and beta value? How do you handle imbalanced dataset? What is the ...
- Ans.
Entropy is a measure of randomness or disorder in a system. Gini index is a measure of impurity in a dataset. Derivatives measure rate of change. P-value is the probability of observing a test statistic. Beta value is the coefficient in a regression model. Imbalanced datasets have unequal class distribution. Recall is the proportion of actual positives correctly identified. Precision is the proportion of predicted posi...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Dec 2023. There was 1 interview round.
(2 Questions)
- Q1. What is probability
- Ans.
Probability is the likelihood of a specific event occurring, expressed as a number between 0 and 1.
Probability ranges from 0 (impossible event) to 1 (certain event)
It can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes
Probability can be represented as a percentage, fraction, or decimal
- Q2. Write python code
- Ans.
Python code to find the sum of all elements in a list
Use the sum() function to find the sum of all elements in a list
Ensure the list contains only numeric values for accurate results
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed in Sep 2023. There were 4 interview rounds.
Hackerearth - python and ML stuff
(1 Question)
- Q1. EIgen vectors, Math behind algos and previous projects
(1 Question)
- Q1. General discussion why to switch?
Selected
I applied via Referral and was interviewed before Jan 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Project description
- Q2. Tech stack used
(2 Questions)
- Q1. Solve a python coding problem
- Q2. Solve python problem based on dict
(1 Question)
- Q1. General questions
Selected
I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.
It was a 90-minute Aptitude + Coding test in which some LeetCode medium CP problems were asked.
(4 Questions)
- Q1. Regression models: Which one should be used in which case?
- Ans.
Different regression models are used based on the type of data and relationship between variables.
Linear regression is used when there is a linear relationship between the independent and dependent variables.
Logistic regression is used when the dependent variable is binary.
Polynomial regression is used when the relationship between variables is non-linear.
Ridge regression is used when there is multicollinearity in the ...
- Q2. What is R-squared?
- Ans.
R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
R-squared ranges from 0 to 1, with 1 indicating that all variance in the dependent variable is explained by the independent variable.
It is used in regression analysis to determine how well the regression line fits the data points.
A higher R-squared value indicates a bett...
- Q3. Logical and Puzzle Questions?
- Q4. Live Coding: 3-Sum Problem
(2 Questions)
- Q1. Something about yourself?
- Ans.
I am a detail-oriented Senior Analyst with a passion for data analysis and problem-solving.
Experienced in conducting thorough research and interpreting complex data sets
Skilled in creating insightful reports and presentations for stakeholders
Proficient in using analytical tools such as Excel, SQL, and Tableau
- Q2. Salary Negotiation
Interview Preparation Tips
- Machine Learning
- Deep Learning
Skills evaluated in this interview
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Analyst
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Senior Analyst
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| ₹9.5 L/yr - ₹29.5 L/yr |
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Financial Analyst
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