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I applied via Internshala and was interviewed in Jan 2022. There were 2 interview rounds.
Gave topic on dustbin.
Top trending discussions
I applied via Campus Placement
Attitude test best performance 👍
Group discussion best performance 👍
Assignment best performance 👍
I was interviewed in Nov 2023.
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
NAV stands for Net Asset Value, which represents the per-share value of a mutual fund or exchange-traded fund (ETF).
NAV is calculated by subtracting a fund's liabilities from its assets and dividing by the number of shares outstanding.
It is used to determine the price at which investors can buy or sell shares of the fund.
NAV is typically calculated at the end of each trading day.
For example, if a mutual fund has assets...
Custodian banks are financial institutions responsible for safeguarding assets, such as securities and cash, on behalf of institutional clients.
Provide safekeeping of assets
Settle trades on behalf of clients
Collect income on assets
Process corporate actions
Provide reporting and other administrative services
Act as a liaison between the client and the investment manager
CET level questions, Math, Comprehension
I applied via Approached by Company and was interviewed in Mar 2023. There were 4 interview rounds.
That was ok round by Wissen
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
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...
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.
I applied via Walk-in and was interviewed in Jul 2022. There were 2 interview rounds.
Current domain knowledge test
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Nov 2020. There were 3 interview rounds.
Market capitalisation is the total value of a company's outstanding shares.
Market cap is calculated by multiplying the current stock price by the total number of outstanding shares.
It is used to determine the size of a company and its overall worth.
Companies with higher market caps are generally considered more stable and less risky investments.
For example, Apple Inc. has a market cap of over $2 trillion as of 2021.
Mar...
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