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Verisk Analytics Interview Questions and Answers

Updated 18 Jun 2025
Popular Designations

8 Interview questions

A Model QA Analyst 2 was asked 2mo ago
Q. What are AEP and OEP?
Ans. 

AEP (Annual Enrollment Period) and OEP (Open Enrollment Period) are key times for health insurance enrollment.

  • AEP is a specific time frame for Medicare beneficiaries to enroll or change plans, typically from October 15 to December 7.

  • OEP refers to the period when individuals can enroll in or change their health insurance plans, often occurring in January.

  • For example, during AEP, seniors can switch from Original Med...

A Cat Modelling Analyst was asked 2mo ago
Q. What is catastrophe modeling?
Ans. 

Cat modelling involves assessing and quantifying the risk of catastrophic events to inform insurance and risk management strategies.

  • Utilizes statistical methods to predict the frequency and severity of catastrophic events.

  • Commonly used in the insurance industry to evaluate risks from natural disasters like hurricanes and earthquakes.

  • Involves the use of historical data and simulation models to estimate potential lo...

View all Cat Modelling Analyst interview questions
A ml engineer was asked 5mo ago
Q. What is the difference between the HAVING and WHERE clauses?
Ans. 

HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows

  • HAVING is used with GROUP BY clause to filter groups based on aggregate functions

  • WHERE is used to filter rows based on conditions

  • HAVING is applied after GROUP BY, WHERE is applied before GROUP BY

  • Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000

  • Example: SELECT * FROM employees WHERE age ...

View all ml engineer interview questions
A ml engineer was asked 5mo ago
Q. How can we select the K value for the KNN algorithm?
Ans. 

K value for KNN algo can be selected using techniques like cross-validation, grid search, and elbow method.

  • Use cross-validation to find the optimal K value by splitting the data into training and validation sets multiple times.

  • Perform grid search by testing a range of K values and selecting the one with the highest accuracy.

  • Apply the elbow method by plotting the K values against the error rate and selecting the K ...

View all ml engineer interview questions
An Automation Test Engineer was asked
Q. Explain hashing in detail.
Ans. 

Hashing is a process of converting input data into a fixed-size string of characters using a mathematical algorithm.

  • Hashing is used to securely store passwords by converting them into a hash value that cannot be reversed to reveal the original password.

  • Hashing is also used in data retrieval systems to quickly locate data by converting the data into a unique hash value that serves as an index.

  • Common hashing algorit...

View all Automation Test Engineer interview questions
A Cat Modelling Analyst was asked
Q. How do you treat risk?
Ans. 

I treat risk by conducting thorough analysis, implementing risk mitigation strategies, and staying informed of industry trends.

  • Conducting comprehensive risk assessments to identify potential hazards

  • Developing risk mitigation strategies to minimize potential losses

  • Staying informed of industry trends and regulatory changes to adapt risk management practices

  • Utilizing advanced modelling techniques to quantify and mana...

View all Cat Modelling Analyst interview questions
A Cat Modelling Analyst was asked
Q. What is flood insurance?
Ans. 

Flood insurance is a type of insurance coverage that protects property owners from financial losses due to flooding.

  • Flood insurance is separate from standard homeowners insurance policies

  • It covers damage to a building and its contents caused by flooding

  • Flood insurance may be required for properties located in high-risk flood zones

  • It is typically purchased through the National Flood Insurance Program (NFIP) or priv...

View all Cat Modelling Analyst interview questions
Are these interview questions helpful?
A Cat Modelling Analyst was asked 2mo ago
Q. Models of cat modelling
Ans. 

Cat modeling involves creating statistical models to analyze feline behavior, health, and genetics.

  • Behavioral models: Analyze how cats interact with their environment, e.g., using reinforcement learning.

  • Health models: Predict disease susceptibility based on genetics, e.g., using logistic regression.

  • Population models: Estimate cat populations in urban areas, e.g., using mark-recapture methods.

  • Genetic models: Study ...

View all Cat Modelling Analyst interview questions

Verisk Analytics Interview Experiences

19 interviews found

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected
Round 1 - One-on-one 

(2 Questions)

  • Q1. Page model based
  • Q2. SQL queries om inner join and p Outer join

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview is easy and please prepared for Selenium and core java concepts

ml engineer Interview Questions & Answers

user image Anonymous

posted on 8 Jan 2025

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Aptitude Test 

Quant ,reasoning and english questions level of difficulty is easy

Round 2 - Coding Test 

Mcqs on Machine learning were asked in depth questions were asked

Round 3 - Technical 

(2 Questions)

  • Q1. How can we select K value for KNN algo?
  • Ans. 

    K value for KNN algo can be selected using techniques like cross-validation, grid search, and elbow method.

    • Use cross-validation to find the optimal K value by splitting the data into training and validation sets multiple times.

    • Perform grid search by testing a range of K values and selecting the one with the highest accuracy.

    • Apply the elbow method by plotting the K values against the error rate and selecting the K value...

  • Answered by AI
  • Q2. Difference between Having and Where
  • Ans. 

    HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows

    • HAVING is used with GROUP BY clause to filter groups based on aggregate functions

    • WHERE is used to filter rows based on conditions

    • HAVING is applied after GROUP BY, WHERE is applied before GROUP BY

    • Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000

    • Example: SELECT * FROM employees WHERE age > ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Preparing for ml and concepts of sql and dbms are important ,with a touch of HR questions like :tell something about yourself which is not mentioned in your resume
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude and techical

Round 2 - Technical 

(2 Questions)

  • Q1. SQL queries and coding questions on java
  • Q2. Oops topic and puzzles

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 15 Jan 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

I had a few questions regarding statistics and probability, along with one question each on Python and SQL.

Round 2 - One-on-one 

(1 Question)

  • Q1. What was your most challenging project?
  • Ans. 

    Designing and implementing a real-time data processing system for a large e-commerce platform

    • Developing scalable data pipelines to process and analyze millions of transactions daily

    • Optimizing data storage and retrieval for fast query performance

    • Implementing real-time monitoring and alerting to ensure data accuracy and reliability

  • Answered by AI
Round 3 - One-on-one 

(1 Question)

  • Q1. How would you improve your previous project?
  • Ans. 

    I would improve my previous project by implementing automated testing, optimizing data processing algorithms, and enhancing data visualization.

    • Implement automated testing to catch bugs early on

    • Optimize data processing algorithms for better performance

    • Enhance data visualization for improved insights

    • Collect feedback from users for further improvements

  • Answered by AI
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. About tools and tech stack, previously worked on
  • Q2. Expected salary and explained about company
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
  • Q1. What is cat modelling
  • Ans. 

    Cat modelling involves assessing and quantifying the risk of catastrophic events to inform insurance and risk management strategies.

    • Utilizes statistical methods to predict the frequency and severity of catastrophic events.

    • Commonly used in the insurance industry to evaluate risks from natural disasters like hurricanes and earthquakes.

    • Involves the use of historical data and simulation models to estimate potential losses.

    • ...

  • Answered by AI
  • Q2. Models of cat modelling
  • Ans. 

    Cat modeling involves creating statistical models to analyze feline behavior, health, and genetics.

    • Behavioral models: Analyze how cats interact with their environment, e.g., using reinforcement learning.

    • Health models: Predict disease susceptibility based on genetics, e.g., using logistic regression.

    • Population models: Estimate cat populations in urban areas, e.g., using mark-recapture methods.

    • Genetic models: Study inher...

  • Answered by AI

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 18 Jun 2025

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-

I appeared for an interview in Dec 2024, where I was asked the following questions.

  • Q1. Basic Python questions
  • Q2. Basic SQL questions
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Java basics,sql query
  • Q2. Explain in detail about hashing
  • Ans. 

    Hashing is a process of converting input data into a fixed-size string of characters using a mathematical algorithm.

    • Hashing is used to securely store passwords by converting them into a hash value that cannot be reversed to reveal the original password.

    • Hashing is also used in data retrieval systems to quickly locate data by converting the data into a unique hash value that serves as an index.

    • Common hashing algorithms i...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well

Skills evaluated in this interview

Interview Questions & Answers

user image Nagaswathy Gaddigopula

posted on 29 Nov 2023

Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in May 2023. There were 3 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 - One-on-one 

(2 Questions)

  • Q1. Personal chit chat for 3 hours
  • Q2. No focus of serious evaluation of experience. Director HR did not screen resume before interview. Jumbled the resume pages and was confused.
Round 3 - One-on-one 

(2 Questions)

  • Q1. Brief about one of the major achievements in your career. Why and how?
  • Q2. What is your experience in employee engagement?

Interview Preparation Tips

Topics to prepare for Verisk Analytics interview:
  • Own experience
  • Subject Matter Expertise
  • Company reviews
Interview preparation tips for other job seekers - HR Director in India is inexperienced, unprofessional and psychotic. Global COE model however not much US control on India office. Prevalent AIRWORLDWIDE Culture which is non-inclusive and autocratic leadership. Role during interview and on the job are entirely different. False selling. Toxic work culture.

Interview Questions & Answers

user image Anonymous

posted on 21 Oct 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I appeared for an interview in Apr 2024, where I was asked the following questions.

  • Q1. What is AEP and OEP?
  • Q2. Some questions on R programming language
  • Q3. Regarding cat Modelling and relevant experience.

Top trending discussions

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Interview Tips & Stories
1w
toobluntforu
·
works at
Cvent
Can speak English, can’t deliver in interviews
I feel like I can't speak fluently during interviews. I do know english well and use it daily to communicate, but the moment I'm in an interview, I just get stuck. since it's not my first language, I struggle to express what I actually feel. I know the answer in my head, but I just can’t deliver it properly at that moment. Please guide me
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Verisk Analytics Interview FAQs

How many rounds are there in Verisk Analytics interview?
Verisk Analytics interview process usually has 2 rounds. The most common rounds in the Verisk Analytics interview process are Technical, Aptitude Test and One-on-one Round.
How to prepare for Verisk Analytics 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 Verisk Analytics. The most common topics and skills that interviewers at Verisk Analytics expect are Python, SQL, Agile, Analytics and C#.
What are the top questions asked in Verisk Analytics interview?

Some of the top questions asked at the Verisk Analytics interview -

  1. how can we select K value for KNN al...read more
  2. Why manhole is round in sh...read more
  3. How do you treat ri...read more
How long is the Verisk Analytics interview process?

The duration of Verisk Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.

Tell us how to improve this page.

Overall Interview Experience Rating

4/5

based on 20 interview experiences

Difficulty level

Easy 40%
Moderate 60%

Duration

Less than 2 weeks 78%
2-4 weeks 11%
6-8 weeks 11%
View more

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Verisk Analytics Reviews and Ratings

based on 74 reviews

3.9/5

Rating in categories

3.5

Skill development

4.0

Work-life balance

3.6

Salary

4.1

Job security

3.8

Company culture

3.3

Promotions

3.6

Work satisfaction

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