Preparation for Verisk Analytics requires a balanced approach. You must demonstrate both the "hard" skills required to manage data and the "soft" skills necessary to influence decision-makers.

Technical Competency – You must be comfortable with data manipulation. Expect to demonstrate your proficiency in Excel or similar tools, specifically focusing on data extraction and validation.

Analytical Communication – It is not enough to find the data; you must be able to tell the story behind it. Practice presenting complex research topics clearly and concisely to an audience that may not be familiar with your specific research niche.

Industry Awareness – Verisk Analytics operates in the risk modeling space. You should have a clear, well-researched perspective on current events, environmental disasters, or economic shifts that impact the insurance sector.

The interview process at Verisk Analytics is structured to evaluate both your technical output and your presence as a professional. Typically, you will begin with a screening call with HR, followed by a technical assessment or a discussion with the hiring manager. If you progress, you should expect a presentation component where you analyze a specific topic, followed by a final round with leadership to discuss the role's scope and offer details.

This timeline illustrates the progression from initial screening to the deep-dive presentation stage. Candidates should treat the presentation as a core assessment of their analytical and communication skills, as it is a common requirement for this role. Use the time between rounds to refine your presentation delivery and ensure your technical skills are sharp enough to handle follow-up questions from senior staff.

Data Integrity and Technical Rigor

You will be evaluated on your ability to produce error-free work. This is the bedrock of the Research Analyst position.

• Data Sourcing – Identifying reliable financial and media sources.
• Excel Skills – Proficiency in VLOOKUP, pivot tables, and data cleaning.
• Accuracy – Maintaining high standards even during high-volume periods.

Example scenarios:

• "Given these three links, extract the key risk indicators and input them into this template."
• "How do you verify the primary source of a financial statement?"

Presentation and Communication

Your ability to synthesize information is as important as the information itself.

• Storytelling – Framing data within a broader industry context.
• Q&A Handling – Defending your research findings under direct questioning.
• Conciseness – Delivering a 20-minute presentation that stays on topic.

Example scenarios:

• "Present a 20-minute deep dive on a recent natural disaster and its implications for insurance premiums."
• "Explain a complex trend you have been following in the financial markets."