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Oliver Wyman case interview: 4 practice cases with worked examples (2026)

How the Oliver Wyman case interview works, how it differs from McKinsey, BCG and Bain, and four financial services cases with the first exhibit worked through.

Updated 20 Oct 2026By the PartnerRound team16 min read

TL;DR

  • The Oliver Wyman case interview is commonly candidate-led: you set the structure, ask for the data and drive to a recommendation, with the interviewer as a collaborator.
  • Financial services, insurance and risk come up more often than at most strategy firms, so expect ratios, segment economics, pricing and returns.
  • Processes commonly run two rounds of case and fit interviews; some offices add a written case or an online test. Check your invitation.
  • Train three habits: break every ratio into its drivers, cut every average by segment, and test every return against a hurdle.
  • Start with Ashcombe Insurance (motor pricing), then Fernpay (credit card economics).
Oliver Wyman logo

Oliver WymanAshcombe Insurance's motor book slips into lossProfitability · Medium

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Hear the case, answer by voice or text and get scored on every step.

Interviewer

Our client, Ashcombe Insurance, is a mid-size motor insurer. Two years ago its combined ratio was 96%; this year it is above 100%, so the motor book is losing money on underwriting. Most of its new customers now arrive through price comparison websites. The CEO wants to know what has gone wrong and how to fix it. Where would you like to start?

On this page
  1. How the Oliver Wyman case interview works
  2. Oliver Wyman practice cases at a glance
  3. How Oliver Wyman differs from McKinsey, BCG and Bain
  4. The question types in an Oliver Wyman case
  5. Worked examples: our Oliver Wyman-style cases
  6. Worked examples: two banking cases from other firms
  7. What makes an Oliver Wyman case different
  8. Self-check: are you ready for an Oliver Wyman case?
  9. How to use these practice cases

How the Oliver Wyman case interview works

The Oliver Wyman case interview is commonly candidate-led: the interviewer reads a short prompt, then expects you to set the structure, ask for the data you need and drive to a recommendation, often in around 30 to 40 minutes. Interviewers often act as collaborators, so think out loud and use their hints. Processes commonly run two rounds of case and fit interviews, with partners in the final round, and some offices add a written case or an online test. Financial services, insurance and risk appear more often than at most strategy firms, so ratios and segment economics matter.

A typical Oliver Wyman process (it varies by office)
  1. 01ApplicationCV and cover letter, sometimes a form
  2. 02Online testIn some offices and programmes only
  3. 03First roundUsually two interviews: case plus fit
  4. 04Final roundPartners; sometimes a written case
  5. 05DecisionTiming varies; ask your recruiter

Oliver Wyman was founded in the 1980s to advise financial institutions, and financial services and risk remain among its best-known practices. It now works across most sectors, including retail, transport, health and energy, so a case can come from anywhere. Its style shows even outside banking and insurance: interviewers like a ratio broken into drivers, an average cut by segment and a return compared with a hurdle. The fit portion is commonly a conversation about your experience and why Oliver Wyman; have true stories with numbers ready.

Oliver Wyman practice cases at a glance

Two cases in our library are written in Oliver Wyman's style, both candidate-led and both with guided walkthroughs. We have added two banking cases written in other firms' styles, BCG and Accenture, because they test the same economics: what a decision costs across a whole book, and whether a business case survives realistic assumptions.

Four cases to practise for Oliver Wyman
Case (style, industry)Questions and exhibitsWhat you calculate
Ashcombe Insurance's motor book slips into loss (Oliver Wyman style, insurance, medium)9 questions, 3 exhibits: portfolio and segment tables, a quote-band chartCombined ratio, a segment's underwriting result, the price rise it needs
Fernpay weighs a credit card (Oliver Wyman style, financial services, medium)8 questions, 4 exhibits: peer take-up, loss rates, card economics, launch optionsSize of the book, return on equity per card, the breakeven loss rate
Northstar Bank loses its deposits (BCG style, retail banking, hard)9 questions, 3 exhibits: the deposit book, leavers vs stayers, balances by customer typeCost of matching a rival's rate vs cost of the outflow, and a break-even
Fenmore Bank weighs a small-business app (Accenture style, banking, medium)9 questions, 3 exhibits: adoption curves, value per user, two delivery routesValue of active users and payback by route, against a 4-year hurdle

Start with Ashcombe: one ratio to rebuild and one segment to find. Fernpay adds capital and return on equity. Northstar is the hardest: the CEO asks a yes-or-no question, and the right answer depends on which customers you count.

How Oliver Wyman differs from McKinsey, BCG and Bain

The core skills are the same at every strategy firm: structure, maths, exhibit reading and a clear recommendation. The differences are in emphasis, and they vary by office and interviewer, so read this table as tendencies candidates commonly report, not rules.

Oliver Wyman and MBB side by side (typical, not universal)
AspectOliver WymanMcKinseyBCGBain
Case formatCommonly candidate-led and collaborativeInterviewer-ledCommonly candidate-ledCommonly candidate-led
Exhibit densityModerate: data often given when you ask for itSeveral charts and tables per caseCharts and tables, often given as you askFewer exhibits; more data given verbally
Maths emphasisRatios, unit economics, returns and pricingSolid; precise steps under time pressureSolid; often tied to chart readingSolid; quick estimates and breakevens
Business judgementTrade-offs and risk: what you gain, what you give upSynthesis at each step, creative ideasCreative options, the 'so what' of exhibitsPractical, answer-first recommendations
Fit portionExperience, motivation, why Oliver WymanPersonal Experience Interview: one story in depthExperience and motivationExperience and motivation, often weighted heavily
Typical themesFinancial services, insurance, risk, pricing, plus most other sectorsBroad: profitability, entry, operations, public sectorBroad, often growth and strategyProfitability, private equity diligence, customers

The biggest adjustment is ownership. In a candidate-led case nobody tells you which exhibit comes next: you ask for it, and the quality of the request is part of the test. 'Can I see claims frequency by channel and driver age?' earns data; 'Is there any more information?' earns a pause. Our McKinsey and Kearney guides cover the interviewer-led style for contrast.

The question types in an Oliver Wyman case

Most Oliver Wyman-style cases are built from the same seven kinds of question, and each can be drilled on its own.

What each question tests, and where to practise it
Question typeWhat is assessedWhere to practise
Break a ratio into driversRebuilding combined ratio, margin or return on equity from its partsProfitability drills, profitability lesson
Find the segmentSpotting mix: an average that moves while its parts stay flatPercentages and ratios drills
Size a book or marketUsers × eligible × take-up × balance, checked against the marketBottom-up sizing drills
Unit economics and returnRevenue and cost per account, then profit over the capital it needsInvestment returns drills
Pricing and trade-offsWhat a price move gains, what volume it loses, who reactsPricing drills, pricing lesson
Read the exhibitTurning a chart of rates and bands into one sentence of insightReading charts drills
Recommend with risksAnswer first, the numbers, then specific risks and next stepsRisks and next steps drills

Percentages & ratios drill

Choose

Mix effects decide more Oliver Wyman-style cases than any formula. Test yourself before the worked examples.

Our client, a building materials distributor, has two divisions. Trade margin rose from 10% to 12% and retail margin rose from 20% to 21%. Yet group operating margin fell from 18% to 17%. There are no central costs. What explains it?

Press A to D, then Enter

Worked examples: our Oliver Wyman-style cases

Ashcombe Insurance: why the motor book lost money

The prompt. Ashcombe, a mid-size motor insurer, had a combined ratio of 96% two years ago. This year it is above 100%, so the motor book loses money on underwriting. Most new customers now arrive through price comparison websites. What went wrong, and how should it be fixed?

What clarifying questions earn you. The expense ratio is flat at 26%, so the movement is in claims. Across the market, claims inflation has pushed the cost of each claim up about 8% in two years, and competitors have raised prices about 10%. About 55% of Ashcombe's new business comes through comparison sites. The CEO wants the combined ratio below 97% within two years.

A fitting structure
Combined ratio=Loss ratio: claims ÷ premium+Expense ratio: costs ÷ premium

Then break the loss ratio into frequency × severity ÷ average premium, and cut each by segment.

Exhibit 1: Motor portfolio, two years ago vs this year
MeasureTwo years agoThis year
Policies (m)2.02.2
Average premium ($)500533
Claims frequency (claims per 100 policies)7.07.6
Average claim severity ($)5,0005,400
Expense ratio26%26%
Combined ratio96%Above 100%

Two calculations. Claims cost per policy is frequency × severity: 7.6% × $5,400 ≈ $410 today, against 7.0% × $5,000 = $350 two years ago (a 70% loss ratio on $500). Today's loss ratio is $410 ÷ $533 ≈ 77%, so the combined ratio is 77% + 26% = 103%, up 7 points. Claims cost per policy has risen about 17% while premium rose 6.6%. On about $1.17bn of premium, 103% means an underwriting loss of about $35m.

Oliver Wyman logo

Oliver WymanAshcombe Insurance's motor book slips into lossProfitability · Medium

Ashcombe Insurance's motor book slips into loss

Play the rest: find the segment behind the rise, put a dollar figure on it and decide the fix.

Interviewer

Our client, Ashcombe Insurance, is a mid-size motor insurer. Two years ago its combined ratio was 96%; this year it is above 100%, so the motor book is losing money on underwriting. Most of its new customers now arrive through price comparison websites. The CEO wants to know what has gone wrong and how to fix it. Where would you like to start?

Fernpay: should a payments app start lending?

The prompt. Fernpay runs a payments app with 8m monthly active users, most aged 20 to 35. It has never lent money. Should it launch a credit card for its users, and if so, how?

What clarifying questions earn you. Fernpay holds an e-money licence but no lending licence, has no deposits and has $90m of cash. The market holds $80bn of card balances across 32m cards. The board wants at least a 15% return on equity and no damage to a brand built on young users' trust.

A fitting structure
Launch a card, and how?
  • Size of the book
    • Users × eligible × take-up
    • × average balance
  • Economics of one card
    • Interest, interchange, fees
    • Funding, losses, servicing
  • Capital and return
    • Equity regulators require
    • Return vs 15% hurdle
  • Entry route
    • Own balance sheet
    • Partner bank

About half of users would pass affordability and credit checks, and the average balance is about $2,000. The first exhibit, a bar chart in the case, shows take-up at four comparable apps.

Exhibit 1: In-app credit take-up at comparable apps, % of eligible users after three years
Comparable appTake-up
Peer A14%
Peer B17%
Peer C23%
Peer D26%

Two calculations. Average take-up is (14 + 17 + 23 + 26) ÷ 4 = 20%. So 8m users × 50% eligible × 20% = 800k cards, and 800k × $2,000 = $1.6bn of balances, 2% of the market's $80bn. The peer range gives 560k to 1.04m cards, or about $1.1bn to $2.1bn.

Oliver Wyman logo

Oliver WymanFernpay weighs a credit cardMarket Entry · Medium

Fernpay weighs a credit card

Play the rest: choose a loss rate, build the return on equity and pick the launch route.

Interviewer

Our client, Fernpay, runs a payments app with 8m monthly active users, most of them aged 20 to 35. It has never lent money. The board is considering launching a credit card for its users and has asked us whether it should, and if so how. How would you approach this?

Worked examples: two banking cases from other firms

These two are written in BCG and Accenture styles. Northstar is candidate-led, like an Oliver Wyman case; Fenmore is interviewer-led. Both turn on financial services economics that Oliver Wyman interviewers probe.

Northstar Bank: match the challenger's rate?

The prompt. A digital-only challenger has been taking deposits from Northstar, a mid-size UK retail bank: £1.66bn has left in 18 months, about 9% of the £18.4bn it holds today. The CEO asks whether to match the challenger's savings rate.

A fitting structure. Who is leaving and how much they hold; what matching costs across the whole book against what losing the deposits costs; responses other than price; then a decision segment by segment rather than for the book as a whole.

Exhibit 1: Northstar's retail deposit book today
ProductBalances (£bn)Northstar rateChallenger rate
Instant-access savings11.42.2%4.1%
Fixed-term and notice accounts7.0Fixed to maturityn/a
Total retail deposits18.4

The exhibit's note adds that almost all of the £1.66bn left from instant access, and that the alternative to deposits is wholesale funding at 4.6%. Two calculations. Instant access is £11.4bn ÷ £18.4bn ≈ 62% of the book, and the rate gap is 4.1% - 2.2% = 1.9 points. A match would pay that 1.9 points on every pound of instant access, not just on the customers at risk.

BCG logo

BCGNorthstar Bank loses its depositsCompetitive Response · Hard

Northstar Bank loses its deposits

Play the rest: price the match and the outflow, profile the leavers and design the response.

Interviewer

Northstar is a mid-size retail bank. Over eighteen months a digital-only challenger has been taking deposit share in their core market, and Northstar has lost about 9% of retail deposit balances. The CEO is asking whether to match the challenger's savings rate. What do you think?

Fenmore Bank: does a small-business app pay back?

The prompt. Fenmore Bank has 50,000 small-business customers and is losing them to digital banks at twice the rate of three years ago. The digital team wants $16m to build a mobile-first app. Does it pay back within the bank's four-year hurdle, and should Fenmore go ahead?

What clarifying questions earn you. Attrition is 12% a year, up from 6%, and most leavers cite the digital experience. Each customer brings about $2,000 of revenue a year, a $100m book. A few vendors also sell white-label small-business platforms.

A fitting structure. Adoption × value per active user, less build and run costs, year by year against the four-year hurdle. Then test the adoption assumption against peers, and compare building with buying.

Exhibit 1: Active app users by year after launch, % of small-business customers
Year after launchFenmore planPeer bank median
Year 120%10%
Year 240%25%
Year 360%35%
Year 460%40%
Year 560%40%

Two calculations. In year 3 the plan has 60% × 50,000 = 30,000 active users, against 35% × 50,000 = 17,500 at the peer median, about 1.7 times as many. Over five years the plan adds up to 120,000 user-years (10,000 + 20,000 + 3 × 30,000) against 75,000 for the peers: 60% more.

Accenture Strategy logo

AccentureFenmore Bank weighs a small-business appNew Product · Medium

Fenmore Bank weighs a small-business app

Play the rest: value an active user, test payback on both curves and compare building with a partner platform.

Interviewer

Fenmore Bank is a regional bank with 50,000 small-business customers, and it is losing them to digital banks at twice the rate it did three years ago. The digital team wants to build a mobile-first app for small businesses at a cost of $16m. The CEO asks whether it pays back within the bank's four-year hurdle, and whether Fenmore should go ahead. How would you approach it?

What makes an Oliver Wyman case different

Cases can come from any sector, but the firm's financial services roots show in two ways: the vocabulary, and the habit of judging a business by the return on the capital it ties up. You don't need industry knowledge for a generalist role, but you should be comfortable when a prompt uses these terms.

Financial services terms worth knowing
TermWhat it meansHow it shows up in a case
Combined ratioClaims plus expenses as a share of premiumAbove 100% means the insurer loses money on underwriting
Frequency and severityHow often policies claim, and what each claim costsClaims inflation mostly moves severity; who you insure moves frequency
Adverse selectionEnding up with the customers you have underpricedWhen a price cut wins volume fast, ask who you are winning
Credit loss rateThe share of balances written off in a yearUsually the swing factor in a lending case
Return on equityProfit after tax ÷ the equity a business must holdLending is judged against a hurdle, not on profit alone
Wholesale fundingMoney a bank borrows from markets rather than depositorsThe cost of replacing deposits that leave
The interviewer asks: 'Should the bank grow its loan book by approving more applicants?'

Weak

Yes. More loans means more interest income, and the bank already has the systems, so most of it drops to profit.

Strong

Only if the extra loans clear our hurdle. The applicants we turn down today are riskier than the book, so I'd price their expected loss rate, not the book's average, and check the return on the extra capital they need. If it clears, I'd start with a small, capped test.

Why: The weak answer treats volume as free. The strong one prices the marginal customer, ties the answer to capital and a hurdle, and limits the downside. That is the judgement Oliver Wyman-style cases probe.

Written cases and online tests. Some candidates report a written or presentation-style case in later rounds: a pack of data, time to prepare, then a discussion. Some offices also use an online test before interviews. Whether you face either varies by office and year, so ask your recruiter. In a written case, find the two or three numbers that matter, put the answer first and show the arithmetic you rely on.

Self-check: are you ready for an Oliver Wyman case?

Before the interview, you should be able to say yes to each of these without hesitating.

  • I can break combined ratio, margin or return on equity into drivers without notes.
  • When an average moves, I check the segments before I conclude behaviour has changed.
  • After my structure, I say where I'd start and ask for specific data.
  • I size a lending book in balances as well as accounts.
  • I turn a return into a breakeven: how far can the key assumption move before the answer flips?
  • I close with an answer, the numbers behind it, the trade-off I am accepting and specific risks.

Check yourself

A lender's annual credit loss rate rises from 2% to 3% of balances. Which statement is accurate?

Profit & margins drill

Calculate

A pricing trade-off in numbers: what a price cut does to contribution when volume rises.

Our client, a consumer electronics retailer, sells 100,000 pairs of headphones a year at $200, earning $80 of contribution on each. It plans a 10% price cut, which it expects to lift volume 20%. What will total contribution be, in $m?

$m

How to use these practice cases

Play each case twice: first live against the clock, leading it as you would in the interview, then with the guided walkthrough, comparing each answer with the model. The gaps you find on the second pass are your study plan.

  1. Week 1: Ashcombe, live then guided. Drill ratios and mix until a segment table takes you two minutes.
  2. Week 2: Fernpay and Fenmore. Drill returns and payback; size every book in balances as well as customers.
  3. Week 3: Northstar, then replay your weakest case and practise 60-second recommendations out loud.

Frequently asked questions

What is the Oliver Wyman case interview format?

Commonly a candidate-led case of around 30 to 40 minutes inside an interview that also covers fit. You set the structure, ask for data and drive to a recommendation, with the interviewer as a collaborator. Most processes run two rounds; some offices add a written case or an online test, so check your invitation.

Are Oliver Wyman cases candidate-led?

They are commonly described that way, though style varies by interviewer and office. Prepare to lead: after your structure, say where you would start, ask for specific data and summarise as you go. If the interviewer steers you, follow, then take the lead again.

Do I need financial services knowledge for an Oliver Wyman interview?

Generalist roles do not expect specialist knowledge, and cases can come from any sector. But financial services cases appear often, so learn the basic vocabulary: combined ratio, loss rate, return on equity, funding cost. Specialist roles, such as in actuarial or risk teams, may test more.

Does Oliver Wyman use a written case?

Some candidates report a written or presentation-style case in later rounds, where you review a pack of data, prepare, then present and discuss it. It is not universal and formats change, so ask your recruiter what each round contains.

How should I prepare for an Oliver Wyman case interview?

Learn the core method, then add the firm's emphasis: ratios broken into drivers, segment and mix analysis, unit economics, return on capital and explicit trade-offs. Practise candidate-led cases out loud, including financial services ones like those in this guide, and get feedback on how you drive the case, not just your maths.

What is the Oliver Wyman fit interview like?

Commonly a conversation about your experience, your motivation for consulting and why Oliver Wyman, often woven into the case interviews rather than held separately. Prepare a few true stories with numbers, and a specific reason for the firm, such as a practice whose work interests you.

Written by the PartnerRound team

We build case interview practice: an AI interviewer that holds the answer key, guided cases, drills and a free course. Every guide is checked against the cases and drills it links to, so what you read is what you practise. Published 20 Oct 2026.