As a Consultant at Verisk, you will sit at the intersection of data analytics, advanced technology, and strategic business decision-making. Verisk is a leading global data analytics and risk assessment firm, primarily serving clients in insurance, energy, financial services, and specialized markets. In this role, your primary objective is to help clients understand, quantify, and manage risk by leveraging Verisk's proprietary databases, analytical models, and software suites.

Whether you are stepping into a Pre Sales Consultant role or a technical implementation position, your work will directly impact how major global enterprises protect their assets and optimize their operations. You will translate complex analytical findings into actionable business strategies, making this position highly visible and strategically vital. You will collaborate closely with product management, data science, and engineering teams to ensure that client feedback is seamlessly integrated into Verisk's product roadmap.

This position requires a unique blend of technical acumen, client-facing communication, and deep industry knowledge. Candidates who succeed in this role are not only comfortable writing queries or building data models but are also exceptional storytellers who can articulate the business value of data to both highly technical and non-technical stakeholders.

The following questions are representative of what candidates face during the Verisk selection process. These questions are drawn from real interview experiences across multiple global offices and are grouped by category to help you identify key patterns in how candidates are evaluated.

Technical & Analytical Questions

These questions test your core data manipulation skills, database knowledge, and comfort with analytical tools.

• Write a SQL query to join two tables and aggregate claims data by region and policy type.
• Given a Python dictionary of client portfolios, write a function to filter and sort the records based on risk metrics.

To succeed in the Verisk interview process, you must demonstrate a balanced skill set that spans technical proficiency and consultative communication. Your preparation should focus on showing how your analytical skills can be applied directly to solve real-world risk management problems.

Technical and Analytical Execution – You must prove that you can work hands-on with data. Interviewers will evaluate your comfort with SQL, basic Python, and advanced Excel. You should be prepared to write clean code on the spot and explain your logical reasoning clearly.

Structured Problem Solving – When faced with complex business cases, your ability to break down an ambiguous problem into logical, manageable parts is critical. Interviewers look for structured frameworks, clear hypotheses, and a systematic approach to identifying solutions.

Client-Facing Communication – As a Consultant, you are the face of Verisk to many clients. You will be evaluated on your ability to present ideas clearly, handle unexpected questions with poise, and build trust through professional and structured communication.

Domain and Industry Curiosity – While you do not need to know every nuance of the insurance or risk management industry on day one, showing a strong interest in how data analytics is transforming these sectors will set you apart from other candidates.

The interview process for a Consultant at Verisk is structured to evaluate both your technical capabilities and your consultative communication style. While the process can vary slightly depending on the specific team and geographic location, it generally moves from initial screening to deeper technical and presentation stages.

For most candidates, the process begins with an initial HR or recruiter pre-screen call. This is typically a brief conversation focused on your background, career goals, and your understanding of the Consultant role. Following this initial screen, candidates frequently undergo an online assessment or aptitude test, which in some regions includes logical reasoning and basic programming questions.

The subsequent stages involve technical interviews focusing on SQL, Python, and Excel, followed by a presentation or case study round. For roles with a heavy emphasis on client delivery or pre-sales, you may be asked to prepare and deliver a presentation to the hiring team. The process concludes with a conversation with a Hiring Manager or Partner to discuss team fit, company culture, and role expectations.

This visual timeline illustrates the typical journey of a candidate through the Verisk recruitment process. Candidates should use this timeline to pace their preparation, ensuring they allocate sufficient time to practice both technical coding skills and presentation delivery before advancing to the final stages.

Technical Proficiency (Python, SQL, and Excel)

The technical rounds at Verisk are practical and focused on the day-to-day tools you will use to analyze client data. You are not expected to be a software engineer, but you must be comfortable manipulating data efficiently.

Be ready to go over:

• SQL Queries – Writing joins, aggregations, group by statements, and filtering data.
• Python Data Structures – Manipulating lists and dictionaries, writing basic loops, and understanding basic data analysis libraries.
• Excel Models – Utilizing lookups, pivot tables, logical formulas, and structuring data for easy client consumption.

Example questions or scenarios:

• "Given a table of historical policy claims, write a query to find the average claim amount for policies active in 2023."
• "Write a Python script that takes a list of risk scores and categorizes them into 'High', 'Medium', and 'Low' ranges."

Case Solving & Domain Expertise

For senior or partner-led interview rounds, you will face business cases designed to test how you apply industry knowledge to solve client problems. These cases assess your ability to think like a strategic advisor.

Be ready to go over:

• Risk Assessment Frameworks – How to identify, measure, and mitigate different types of operational and financial risk.
• Market Sizing and Feasibility – Evaluating whether a client should launch a new product or enter a new market.
• Value Proposition Delivery – Articulating how Verisk’s analytical tools can solve specific customer pain points.

Example questions or scenarios:

• "An insurance client is experiencing an unusually high rate of fraudulent claims in their auto division. How would you use data analytics to help them identify and prevent this?"
• "Walk me through how you would structure a feasibility study for a commercial property insurer looking to update their catastrophe models."

Presentations & Client Delivery

For many Consultant and Pre Sales Consultant roles, presenting data clearly is just as important as analyzing it. You may be asked to prepare slides and present to an interview panel.