Fidelity National Financial Senior Analyst Interview Questions and Answers

Q1. Java, Hadoop, Pyspark Questions
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Q1. Questions on current work experience
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Q1. SAS Scenario based questions related to transactions
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Q2. Handling big data in SAS
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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...read more
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Q3. Risk analytics specific questions
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Q4. How to identify red flags in a data
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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...read more
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Q1. Moderate level questions on sql
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Q2. Moderate level questions on python
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Q1. Asked question on resume projects
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Finance related questions

Q1. Holding period return
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Q2. Sharpe ratio, sortina ratio
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Q1. From resume and profile
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Q1. Work experience
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Q1. Ratios and analysis
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Q1. Related to Unix shell scripting
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Q1. On sql queries and unix environment
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Q1. Project discussion and hr discussion
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