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Finance related questions
I applied via campus placement at University of Delhi, Delhi and was interviewed before Mar 2023. There were 2 interview rounds.
Basic grammar, quant, LR and DI
Yes, I have a strong understanding of data and its analysis.
I have experience in collecting, organizing, and analyzing data from various sources.
I am proficient in using statistical tools and software to interpret data.
I have successfully presented data-driven insights to stakeholders in previous roles.
I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
posted on 30 Dec 2024
As a Senior Analyst, my day-to-day activities involve conducting data analysis, creating reports, presenting findings to stakeholders, and providing insights for decision-making.
Conducting data analysis on various datasets
Creating reports based on analysis findings
Presenting findings to stakeholders
Providing insights and recommendations for decision-making
Collaborating with team members on projects
Swing trading is a trading strategy that aims to capture short- to medium-term gains in a stock or financial instrument.
Swing traders typically hold a position for a few days to several weeks, as opposed to day traders who hold positions for just a few hours.
They aim to profit from the 'swings' or price movements in the market, buying at support levels and selling at resistance levels.
Swing trading involves analyzing t...
I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
I excel in team environments by actively listening, collaborating, and contributing my expertise to achieve common goals.
I actively listen to team members' ideas and feedback
I collaborate effectively by sharing my expertise and working towards common goals
I communicate openly and respectfully with team members
I adapt to different working styles and personalities within the team
I take initiative and contribute positivel...
I applied via Company Website and was interviewed in Mar 2024. There was 1 interview round.
Handling big data in SAS involves using efficient programming techniques and tools to process and analyze large datasets.
Utilize SAS procedures like PROC SQL, PROC SORT, and PROC MEANS for data manipulation and summarization
Use SAS macros to automate repetitive tasks and improve code efficiency
Leverage SAS data step programming for data cleaning, transformation, and merging
Consider using SAS/ACCESS engines to connect t...
Red flags in data can be identified through inconsistencies, outliers, missing values, and unusual patterns.
Look for inconsistencies in the data such as contradictory information or errors.
Identify outliers that are significantly different from the rest of the data points.
Check for missing values that could indicate incomplete or inaccurate data.
Look for unusual patterns or trends that deviate from the expected norms.
U...
Trade life cycle refers to the stages involved in a trade from initiation to settlement.
Trade initiation - Trade is proposed and agreed upon by parties involved.
Trade execution - Trade is executed on the agreed terms.
Trade confirmation - Confirmation of trade details by both parties.
Trade settlement - Actual exchange of securities and funds.
Post-trade activities - Reconciliation, reporting, and risk management.
posted on 26 Mar 2024
I applied via Recruitment Consulltant and was interviewed in Sep 2023. There were 3 interview rounds.
based on 3 interviews
Interview experience
based on 20 reviews
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Consultant
235
salaries
| ₹5.8 L/yr - ₹25 L/yr |
Analyst
125
salaries
| ₹2.5 L/yr - ₹7.5 L/yr |
Senior Consultant
119
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| ₹8 L/yr - ₹27 L/yr |
Manager
118
salaries
| ₹8 L/yr - ₹26.1 L/yr |
Benefit Analyst
99
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| ₹3 L/yr - ₹7 L/yr |
Mercer
Willis Towers Watson
Deloitte
KPMG India