Preparation for Verisk requires a balance of deep technical readiness and the ability to articulate your thought process clearly. You should be prepared to demonstrate that you can move beyond raw data to provide meaningful, strategic insights.

Analytical Rigor – You will be evaluated on your ability to structure a problem from scratch. Focus on demonstrating a logical, step-by-step approach to research, ensuring your methodology is sound and your assumptions are clearly stated.

Communication Clarity – The ability to distill complex information is paramount. Practice explaining your past projects in a way that highlights the "why" and the "so what" rather than just the "how."

Domain Competency – You must demonstrate a strong grasp of the specific sectors Verisk serves. Stay current on industry trends, particularly those related to risk, climate modeling, or financial analytics, to show you are engaged with the company’s core mission.

The Verisk interview process is designed to test your technical proficiency, your ability to think under pressure, and your cultural alignment with the team. You should expect a sequence that moves from initial screening to deeper technical and behavioral assessments.

The process typically begins with a screening call to establish your baseline experience and interest. Following this, you will progress to one-on-one interviews with hiring managers or senior team members. A hallmark of the Research Analyst process is a practical presentation, where you are often asked to analyze a recent event or a specific risk-related topic. This is followed by a discussion where you must defend your methodology and findings.

This timeline illustrates the progression from initial screening to the final offer stage. You should interpret this as a multi-stage evaluation where each round builds on the last; the early stages focus on fit and basic competency, while the presentation stage is a deep dive into your analytical and communication skills.

Data Analysis and Excel Proficiency

You will be expected to demonstrate high-level proficiency in data manipulation. This often includes extracting information from various sources and organizing it into clean, actionable formats.

• Be ready to go over:
• Data cleaning and normalization techniques.
• Efficient use of lookup functions, pivot tables, and data visualization in Excel.
• Methods for cross-referencing disparate financial or media reports.
• Example scenarios:
• "Given these three sources, populate this data file with the relevant risk metrics."
• "How do you audit your own work to ensure there are no entry errors?"

Problem Solving and Case Studies

The presentation round is your primary venue for demonstrating how you think. You will be evaluated on how you frame a problem, the quality of your research, and your ability to respond to challenging questions from senior staff.

• Be ready to go over:
• Defining the scope of a research project.
• Identifying key risk factors in a disaster or market event.
• Defending your conclusions against counter-arguments or "what-if" scenarios.
• Example scenarios:
• "Walk us through your analysis of a recent disaster event."
• "What were the most significant gaps in your data, and how did you mitigate them?"