A Financial Analyst at Verisk Analytics plays a pivotal role in driving the financial strategy, operational efficiency, and data-driven decision-making of a global leader in data analytics and risk assessment. Operating at the intersection of finance, technology, and risk management, analysts in this role do not merely report numbers; they translate complex datasets into actionable strategic insights. Your work will directly impact how the company evaluates business performance, prices risk, and identifies growth opportunities across key sectors like insurance, energy, and specialized financial services.

At Verisk Analytics, the financial planning and analysis teams support critical business units by building robust financial models, conducting due diligence, and managing forecasting cycles. Whether you are aligned with corporate finance, SEC reporting, or a specific divisional product team, you will collaborate closely with actuaries, product managers, and senior executives. This cross-functional exposure makes the role highly dynamic and intellectually challenging, requiring a unique blend of quantitative precision and strategic communication.

Succeeding in this position means embracing Verisk Analytics' core commitment to innovation and analytical rigor. The company values analysts who can look beyond the spreadsheets to understand the operational drivers of the business. By mastering the nuances of our data assets and financial structures, you will help steer the organization through complex market landscapes, making this role a premier launchpad for a long-term career in corporate finance and strategic analytics.

The questions you will face during the Verisk Analytics hiring process are designed to evaluate both your technical proficiency and your behavioral alignment with our collaborative culture. These questions are compiled from real interview experiences of previous candidates and represent the core themes you should prepare for. Use these examples to identify patterns in how we assess talent, rather than simply memorizing answers.

Financial Analysis & Domain Knowledge

These questions assess your foundational understanding of corporate finance, accounting principles, and your ability to analyze financial health and risk factors.

• If you were going to rate a commercial automobile, what facets of the risk would be important to consider?
• Walk me through the process of analyzing a company's financial statements to identify areas that require additional due diligence.

Preparing for an interview at Verisk Analytics requires a balanced approach that demonstrates both your analytical horsepower and your interpersonal effectiveness. We look for candidates who are not only technically sound but also highly collaborative and detail-oriented.

To stand out, you should focus your preparation on the following core evaluation criteria:

Role-Related Knowledge – You must demonstrate a strong grasp of corporate finance, accounting principles, and data analysis. Be ready to discuss financial statement analysis, budgeting, and forecasting models in detail, drawing directly from your past professional or academic projects.

Problem-Solving & Logical Reasoning – Our interviewers want to see how you think. You will be evaluated on your ability to structure ambiguous problems, break down complex datasets, and explain the "why" behind your financial conclusions clearly and logically.

Teamwork & Adaptability – Verisk Analytics operates in a fast-paced, matrixed environment. You must show that you can work effectively across diverse teams, adapt to changing priorities, and communicate your insights to stakeholders at all levels of the organization.

Attention to Detail – In the world of risk analytics, precision is non-negotiable. Your ability to spot discrepancies in financial statements, write clear and error-free summaries, and maintain data integrity under pressure will be heavily scrutinized throughout the process.

The interview process for a Financial Analyst at Verisk Analytics is structured to thoroughly evaluate your technical capabilities, logical reasoning, and behavioral fit. Candidates can expect a multi-stage journey that typically spans several weeks, designed to ensure mutual alignment between your career goals and our team's needs.

The process begins with an initial screening, which often includes an HR phone call and a pre-recorded video interview. This initial phase is designed to understand your background, career motivations, and basic communication skills. Following a successful screen, candidates undergo a technical and logical assessment. This assessment may involve a timed exam testing math, logic, and basic financial concepts, or a practical Excel-based test where you will analyze financial data and write a brief summary of your findings.

The final stages consist of virtual or onsite panel interviews. During these rounds, you will meet with hiring managers, senior leadership, and peer-level team members. These conversations dive deep into your resume, technical expertise, and behavioral competencies. The panel format allows you to experience our collaborative culture firsthand and meet the people you will be working with on a daily basis.

The timeline shown above represents the typical progression for most corporate finance and analyst roles. While the exact ordering of the technical assessment and the hiring manager interview may vary slightly by team, you should expect to complete all of these stages before a final decision is made. Use this timeline to pace your preparation, ensuring you are fully ready for the technical deep dives in the middle and final rounds.

To succeed in the Verisk Analytics interview process, you must understand the specific areas where our hiring teams place the greatest emphasis. Each round of interviews is designed to test a distinct set of competencies.

Financial Modeling & Excel Proficiency

This is a cornerstone of the Financial Analyst role. Interviewers will assess your ability to manipulate data efficiently, build reliable models, and extract meaningful insights from raw financial information.

Be ready to go over:

• Data Manipulation – Creating and formatting pivot tables, utilizing advanced formulas (such as VLOOKUP, INDEX/MATCH, and nested IF statements), and ensuring model scalability.
• Scenario Analysis – Building flexible financial models that can forecast outcomes based on varying assumptions and key business drivers.
• Data Visualization – Presenting financial data in clean, intuitive charts and dashboards that clearly highlight trends and variances.
• Advanced concepts (less common) – VBA macro automation, integrating external database queries, or using Power Query to clean large datasets.

Example scenarios:

• "You are given a raw dataset of transaction history. Walk me through how you would clean the data, build a pivot table, and identify the top three underperforming product lines."
• "Explain how you would structure an expense forecasting model so that a manager can easily toggle between optimistic, baseline, and pessimistic economic scenarios."

Analytical Writing & Due Diligence

At Verisk Analytics, data is only valuable if it can be clearly communicated. This area evaluates your ability to analyze financial reports and write concise, professional summaries that guide strategic business decisions.

Be ready to go over:

• Financial Statement Analysis – Reviewing balance sheets, income statements, and cash flow statements to identify anomalies or areas requiring further investigation.
• Executive Summaries – Writing clear, concise memos that translate complex financial data into actionable business recommendations.
• Due Diligence Methodology – Structuring a systematic approach to auditing financial data and validating key assumptions.

Example scenarios:

• "Analyze this sample balance sheet and write a one-page summary explaining which areas require additional due diligence before we proceed with a departmental budget approval."
• "How do you structure your written reports to ensure that senior executives can quickly grasp the key financial risks and opportunities?"

Quantitative Reasoning & Problem Solving

This area tests your foundational mathematical skills, logical thinking, and ability to approach complex, unstructured problems systematically.

Be ready to go over:

• Logical Deductions – Solving word problems and situational puzzles that test your critical thinking and analytical structure.
• Basic Statistics – Understanding key concepts such as averages, variances, distributions, and how they apply to financial forecasting.
• Business Case Estimation – Estimating market sizes, project costs, or risk factors when working with limited or ambiguous information.

Example scenarios:

• "If you were tasked with estimating the total insurance risk for a fleet of commercial delivery vehicles in a major metropolitan area, what data points would you gather and how would you structure your calculation?"
• "Walk me through how you would mathematically validate the accuracy of a historical revenue trend line that appears to have significant seasonal outliers."