Insurance Case Interview: Framework, Ratios & Example

An insurance case interview is a standard consulting case set at an insurer, so you need its profit logic, not insurance experience. That logic is premiums minus claims minus expenses, plus investment income on the float, read through the loss, expense and combined ratios. This guide adds line-specific frameworks and a worked auto insurer case.

What does an insurance case interview test?

An insurance case interview tests the same skills as any case, structure, math, judgment and synthesis, applied to a business that prices risk. Interviewers are not grading actuarial knowledge or reserving rules. They are checking whether you can take an unfamiliar business, build a clean structure, keep the math calm and land a defensible recommendation.

What insurance adds is a specific profit logic. Once you have it, an insurance case is more predictable than most consumer cases, because the levers are well defined. Insurance sits inside the broader financial services case interview family, next to the banking case interview and the fintech case interview, so the structuring habits transfer.

Set the scope out loud at the start. Confirm the line of business, the geography and the objective (grow profit, enter a market, price a product, evaluate a deal). That one habit shows you know insurance is not a single business.

How do insurance companies make money in a case?

Insurance companies make money from two engines: underwriting income and investment income on the float. Most candidates only see the first.

Engine 1: underwriting income. Premiums earned minus claims (losses) paid minus operating expenses. An insurer that prices risk well collects more than it pays out in claims and overhead.

Engine 2: investment income on the float. Insurers collect premiums today and pay claims months or years later. The pool of money held in between is the float, and it is invested. Triple-I's income table, built from NAIC data, shows both engines for the US property/casualty industry (checked November 2026):

Source: Triple-I, Facts + Statistics: Industry overview, NAIC data via S&P Global Market Intelligence, checked November 2026.

Read two things off it. Investment income was larger than the underwriting gain in both years, so a thin underwriting result does not mean a loss. And net income fell in 2025 even though the underwriting gain more than doubled, because realized capital gains fell from $79.3B to $17.3B in the same table. When you diagnose profit in a case, always ask which engine moved.

Which practice cases should you run before an insurance case?

How an insurance case works: you treat the business as pricing risk, so you check premiums, claims and costs before recommending a fix.

Start free now: Bank Loan Operations is a financial comparison case: a bank is weighing branch plus central loan checks against a central-only process with more scrutiny. It has 7 questions, 2 with math, 2 exhibits, and fewer than 10 completed runs so far, so no median time yet. An AI interviewer runs it out loud, shows each exhibit when you reach it and scores the debrief. Your first full case is free when you create an account.

Case (style, industry)	Quant difficulty	Qualitative difficulty	The math you run	Median time
Bank Loan Operations (Independent, financial services). 7 (2 with math), 2 exhibits.financial servicesQuant difficulty mediumQualitative difficulty mediumFewer than 10 runsTry free	medium	medium	Issued loans, contribution, profit by system	Fewer than 10 runsFewer than 10 runs	Try free
Explorer Bank (Independent, credit cards). 8 (1 with math), 1 exhibit.credit cardsQuant difficulty easyQualitative difficulty mediumFewer than 10 runsTry free	easy	medium	Contribution per dollar spent, monthly break-even spend	Fewer than 10 runsFewer than 10 runs	Try free
Orange Bank (McKinsey, banking). 10 (1 with math), 2 exhibits.bankingQuant difficulty mediumQualitative difficulty hardFewer than 10 runsTry free	medium	hard	Combined profit, weighted profit per customer	Fewer than 10 runsFewer than 10 runs	Try free
PSU Bank Mutual Fund Growth (McKinsey, financial services). 8 (3 with math), 3 exhibits.financial servicesQuant difficulty mediumQualitative difficulty hardFewer than 10 runsTry free	medium	hard	Channel growth versus industry, incentive read	Fewer than 10 runsFewer than 10 runs	Try free

All four are adapted from consulting club casebooks (Cornell Johnson, Columbia, Michigan Ross and Wharton). More are in the case library, 92 cases in all. Every debrief scores seven categories: structure (25% of the score), quantitative analysis (20%), business judgment (15%), and problem understanding, exhibit reading, communication and synthesis (10% each), with feedback on every question. Median times come from completed runs between June 25 and September 22, 2026, and count runs, not people.

What are the loss ratio, expense ratio and combined ratio?

The loss ratio, expense ratio and combined ratio are the three numbers that let you read an insurer's P&L.

The rule to memorize: a combined ratio under 100% means the insurer earns an underwriting profit before investment income. Above 100%, it loses money on underwriting and depends on the float to stay in the black.

Using the table above, our arithmetic gives the US property/casualty industry a loss and loss-adjustment ratio of 66.6% in 2025 ($634.8B / $953.5B) and 71.0% in 2024 ($641.0B / $903.3B), with other underwriting expenses at 26.3% and 26.1% of earned premiums. That sums to 92.9% in 2025 and 97.1% in 2024, before policyholder dividends. Publishers define the industry combined ratio on slightly different bases, so in a case use the ratio the interviewer gives you and ask which basis it is on.

Real ratios swing by line. Triple-I's auto page reports the private passenger auto liability combined ratio (after policyholder dividends) at 99.8 in 2021, 111.3 in 2022, 106.3 in 2023, 101.2 in 2024 and 100.2 in 2025. A line can sit above 100 for years while the industry as a whole profits, which is why you identify the line first. Source: Triple-I, Facts + Statistics: Auto insurance, checked November 2026.

Which lines of insurance will you be cased on?

You will be cased on property and casualty, life and health, or specialty and commercial insurance, and the metric tree changes by line. Identify the line early.

Property and casualty (auto, home). Short-tail: claims arrive soon after the premium. The profit lever is the loss ratio, which decomposes into claim frequency (how often) times claim severity (how costly). Premiums decompose into policies in force times average premium. The combined ratio bites hardest here.

Life and health. Long-tail: policies and payouts can span decades, so reserves and the investment spread matter far more than in P&C. The drivers are mortality and morbidity assumptions, persistency (policyholders keeping coverage) and the gap between investment returns and guaranteed payouts. Do not import a P&C combined ratio target into a life case.

Specialty and commercial. Large, lumpy and harder to price (marine, cyber, aviation). Underwriting expertise and reinsurance dominate, because a single claim can be enormous.

What are the most common insurance case types?

The most common insurance case types, in the order we would prepare them, are profitability, market entry, M&A, pricing and digital disruption.

1. Profitability or declining margin. Margin is falling and you isolate whether the cause is a rising loss ratio, a rising expense ratio, pricing that lagged claims inflation or weaker investment income. Use the profitability framework as the base.
2. Market entry or geographic expansion. Size the addressable premium pool, assess local loss experience and regulation, and check whether the firm can price the risk. See the market entry framework.
3. M&A and divestitures. Strategic fit, the target's underwriting quality over several years, reserve adequacy and synergies. See the M&A case framework.
4. Pricing and underwriting strategy. How to set rates, which segments to write or avoid, and how to respond when claims inflation outpaces premium growth. Compare the logic with the pricing case interview example.
5. Digital and insurtech disruption. How an incumbent responds to direct-to-consumer and embedded-insurance entrants. The fintech case interview guide covers the unit economics those entrants run on.

Which firms give insurance cases?

Firms with a financial-services or insurance practice are the likeliest to ask an insurance case, but no firm publishes how often. Oliver Wyman's insurance page says it works with property and casualty, life and health insurers and reinsurers across strategy, operations and finance (checked November 2026). Bain also publishes an insurance practice page.

So treat insurance as likely, not guaranteed, when you recruit for a financial-services team, and as possible at a generalist office. For firm-specific prep, start with the Oliver Wyman case interview guide, the Oliver Wyman practice cases, the Willis Towers Watson case interview guide and the top financial services consulting firms. The firm pages for Deloitte and EY cover their formats.

What framework works for an insurance profitability case?

The framework that works for an insurance profitability case decomposes profit into premiums, claims, expenses and investment income, not a generic revenue-minus-cost tree. This is the standard profitability framework rebuilt around the insurance P&L.

For market entry, adapt the same idea: market attractiveness (premium pool and growth), competitive position and distribution (switching costs are high where brokers hold the client), capabilities and licenses, then financials including the capital the entry ties up. For pricing, build up from expected claims cost (frequency times severity), add the expense load and target margin, then compare with competitors and what regulators allow. If you want more structure drills, see the case interview frameworks guide.

How do you solve an insurance case step by step?

You solve an insurance case by translating profit into the combined ratio, isolating the ratio that moved, decomposing it, checking investment income and then recommending with the constraints named.

Prompt: A regional auto insurer with $1 billion in earned premiums has seen profit erode over two years. Diagnose the cause and recommend a fix.

Step 1: Translate profit into the combined ratio.

Step 2: Isolate the driver. The expense ratio is flat at 28%, so the whole swing sits in the loss ratio, which rose from 70% to 76%. Claims are the problem, not overhead.

Step 3: Decompose the loss ratio. Loss ratio rests on claim frequency times severity, against premiums. Suppose claims per policy and premiums are flat, so the $60M rise ($760M / $700M = +8.6%) is a rise in average claim cost from repair-part and medical-cost inflation. Pricing has lagged claims inflation.

Step 4: Size the fix. Claims and expenses total $1,040M ($760M + $280M). To get back to a 98% combined ratio, premiums must be $1,040M / 0.98 = $1,061M, a 6.1% rate increase. Break-even at 100% needs $1,040M, a 4.0% increase. This assumes expenses stay fixed and claims do not change when rates rise, which is generous: say so out loud.

Step 5: Check the second engine. At 104%, underwriting loses $40M. Investment income on the float may soften it but at modest yields will not fully offset it.

Step 6: Recommend. File for the rate increase, tighten underwriting in the highest-severity segments and invest in claims management to control severity. Name the constraint up front: in most markets rate increases need regulatory approval and some customers will switch, so the fix is neither instant nor guaranteed. That caveat is the business judgment that separates a strong answer from a textbook one.

What insurance case questions can you practice?

Practice these three prompts, each tests one insurance skill, and say your structure out loud before you check the approach.

Prompt 1, pricing math. A new auto product has an expected 6 claims per 100 policies a year at an average of $9,000 per claim. Expenses run at 28% of premium and the target underwriting margin is 5%. What premium should you charge? Approach: expected claims cost is 0.06 x $9,000 = $540 per policy. Claims are what is left after expenses and margin, 100% - 28% - 5% = 67% of premium, so premium = $540 / 0.67 = $806. Check: $540 / $806 = 67% loss ratio plus 28% expense ratio = 95% combined. Then test it against competitors and rate rules.

Prompt 2, claims operations. An insurer handles 200,000 claims a year at $450 each in handling cost. Automating 30% of claims, the simple ones, cuts their handling cost by 60%. What is the annual saving, and what else would you check? Approach: 200,000 x 30% = 60,000 claims; 60,000 x $450 x 60% = $16.2M. Then check implementation cost, fraud leakage on fast-tracked claims and customer satisfaction.

Prompt 3, catastrophe exposure. A homeowners insurer's combined ratio jumped after two severe hurricane seasons. Should it raise prices, leave the riskiest coastal areas or buy more reinsurance? Approach: split the loss ratio into catastrophe and non-catastrophe losses, compare the three options on cost, speed and risk retained, and name regulation and customer loss as constraints.

More structured reps are in the case interview examples library and the case math practice guide.

Which insurance terms should you know the night before?

The insurance terms to know the night before are premium, claim, reserves, reinsurance, underwriting, float and the three ratios. Skim these.

• Premium: the price paid for coverage. Written premium is signed; earned premium is recognized over the policy period.
• Claims or losses: payouts when an insured event occurs.
• Reserves: money set aside for claims that have happened or will happen but are not fully paid. They tie up capital.
• Reinsurance: insurance for insurers, used to cap large or correlated losses.
• Underwriting: evaluating and pricing risk, deciding whom to insure and at what rate.
• Actuarial pricing: using historical loss data and statistical models to set premiums that cover expected claims plus a margin.
• Float: premiums held between collection and claim payment, and invested.
• Hard and soft market: a hard market has rising premiums and tight capacity, a soft market has falling premiums and excess capacity. It helps you explain why margins move even when claims do not.
• Catastrophe loss: a large event such as a hurricane or wildfire that produces many claims at once.
• Adverse selection and moral hazard: higher-risk customers buying more cover, and insured customers taking more risk.
• Loss ratio, expense ratio, combined ratio: the three numbers above. Under 100% combined is an underwriting profit.

What mistakes sink an insurance case?

The mistakes that sink an insurance case are ignoring the float, mixing up premiums, forcing a generic cost tree, missing regulatory limits and not splitting the loss ratio from the expense ratio.

1. Ignoring investment income. Treating an insurer like a product company misses the float. Name both profit engines.

2. Confusing revenue with premiums. Written and earned premium are not the same. Clarify which one the data shows before you do math.

3. Forcing a generic cost tree. "Revenue minus fixed and variable costs" is the wrong shape. Use premiums, claims, expenses and investment income.

4. Missing regulatory and reserving constraints. Rate increases often need approval and reserves tie up capital. A recommendation that ignores them is not implementable.

5. Not separating loss ratio from expense ratio. When margin falls, "cut costs" without checking whether claims or expenses moved loses the thread. The combined ratio split is your first move.

Get those five right and you will out-structure most candidates, whether or not you have worked in financial services. If you are an actuary or underwriter making the switch, read insurance professional vs MBB consultant next. For the wider finance picture, see the finance case interview guide, the healthcare case interview guide for health insurers and payers, and the McKinsey, BCG and Bain guides for generalist formats. Browse every practice case in the case library.

Sources

• Triple-I, Facts + Statistics: Industry overview, property/casualty income analysis 2021 to 2025, NAIC data via S&P Global Market Intelligence (checked November 2026)
• Triple-I, Facts + Statistics: Auto insurance, private passenger auto liability combined ratio 2016 to 2025 (checked November 2026)
• Oliver Wyman: Insurance and Asset Management (checked November 2026)
• Bain & Company: Insurance consulting services (checked November 2026)