Financial Analysis interview preparation

Questions

100

Traced to a firm

42

Firms

28

Updated

September 2026

Asked at

All firmsMoody's7Bain Capital3SSState Street3AMAres Management2BLBlackRock2DED.E. Shaw2MSMorgan Stanley2Oaktree Capital Management2S&P Global2Bridgewater Associates1Citadel1FTFranklin Templeton1Golub Capital1HWHarris Williams1Houlihan Lokey1J.P. Morgan1Jane Street1MWMarshall Wace1Millennium Management1Morningstar1PIMCO1Sycamore Partners1TSTruist Securities1Two Sigma1Vanguard1WMWellington Management1Wells Fargo Securities1Wolverine Trading1

Topic

All topicsThree statements9Accounting policy and standards5Working capital and cash7Ratio analysis8Forecasting and budgeting9Variance and management reporting7Unit economics and costing8Capital budgeting7Cost of capital and valuation7Markets and rates5Modelling, Excel and data8Business partnering6Brainteasers and estimation4Fit and career10

Level

AnyCoreIntermediateHard

Type

AnyTechnicalCaseBrainteaserMarket viewFit

1. 039Walk me through a price, volume and mix variance.Variance and management reportingIntermediatetechnicalCorporate FP&ABusiness finance

   Say this

   You are splitting a revenue or margin gap into three causes: you sold at a different price, you sold a different quantity, or you sold a different blend of products. Price times budget volume, volume times budget price, and mix as the residual from the change in the product blend.

   Then walk it

   1. Price variance: actual price less budget price, times actual volume. Volume variance: actual volume less budget volume, times budget price. Mix variance: actual total volume times the difference between the actual and budget average price arising purely from the blend.
   2. The order matters because the terms are not independent. State your convention up front, price first at actual volume, and be consistent. Interviewers care far more about consistency than about which convention you pick.
   3. A worked case. Budget was 100 units at 1,000 rupees, so 1 lakh of revenue. Actual is 110 units at 950. Revenue is 1.045 lakh, so 4,500 favourable. Price variance is minus 50 times 110, so 5,500 adverse. Volume variance is 10 times 1,000, so 10,000 favourable. Net 4,500. The headline was positive and the price story was negative.
   4. Mix appears the moment you have more than one product. If you sold more of the low-margin SKU, total volume is up and average realisation is down, and mix separates that from a genuine discount.
   5. The reason FP&A lives on this: each variance has a different owner. Price belongs to commercial, volume belongs to sales and demand planning, mix belongs to the product and channel strategy. One number, three conversations.
   6. I would always run the same decomposition on gross margin, not just revenue, because a favourable volume variance on a low-margin product can be worse than no growth at all.

   Where candidates lose it

   Mixing conventions mid-answer so the three variances do not add back to the total. Say your convention first, then reconcile at the end. And do the margin version, not just the revenue version, because that is where the real conclusion sits.

   Expect next

   • Now do it for gross margin instead of revenue.
   • Who owns the mix variance in your organisation?
   • How would you present this to a sales director in one slide?
2. 042Walk me through a month-end close. What are you actually doing and where does it go wrong?Variance and management reportingIntermediatetechnicalCorporate FP&AGCC finance centres

   Say this

   Close is a sequence: cut off the subledgers, post accruals and provisions, reconcile, review flux, then report. A clean close is about five working days, and the two things that break it are late accruals and reconciliations left to the end.

   Then walk it

   1. Days one and two: cut off sales and purchases, post goods-received-not-invoiced accruals, run depreciation, accrue payroll and bonus, revalue FX balances, and book revenue cut-off entries.
   2. Days two and three: reconciliations. Bank, intercompany, GST recoverable against the portal, fixed asset register to the ledger, and inventory to the physical or cycle count. Intercompany is the usual culprit in a group with a shared service centre, because both sides must agree in the same period.
   3. Day three or four: flux review. Compare actual to budget, to forecast and to prior period for every material line, chase anything above a set threshold, and get an explanation with a name attached before anything is published.
   4. Day four or five: management reporting. The pack, the commentary, the variance explanations, the cash position, and the re-forecast if the cadence requires it.
   5. Where it goes wrong: accruals arriving after the flux review, so numbers move after commentary is written; a manual journal with no support; and the classic, an unreconciled intercompany difference parked in a suspense account for three months.
   6. The two controls I would insist on are a close calendar with named owners and cut-off times, and a rule that no journal is posted after the flux review without the controller's approval. That single rule takes a day out of most closes.

   Where candidates lose it

   Describing close as bookkeeping. The analytical part, the flux review before publication, is what an FP&A interviewer is listening for. Also name a concrete failure mode; 'sometimes things are late' is not an answer.

   Expect next

   • How would you take two days out of a five-day close?
   • What is the most common reconciliation problem in a shared service centre?
   • Who signs off the pack and what do they check?
3. 043What does 'good' look like?Variance and management reportingIntermediatetechnicalGolub CapitalAnalytics · Chicago · 2023

   Say this

   Good is defined against a benchmark and a decision, never in the abstract. So my answer is that I would not accept the question without asking what we are measuring, compared with what, and what we would do differently at each answer.

   Then walk it

   1. The three benchmarks worth naming: our own history, our plan, and someone external, either a competitor or a best-in-class function. A number that beats last year and misses the plan and lags the peer group needs all three to be understood.
   2. Then define it as a level plus a direction plus a consistency. A 14 percent margin that is stable and improving is good; the same 14 percent that swung from 20 to 9 to 14 is not, even though the average is identical.
   3. Then attach it to a decision. For a reporting function, good might be a five-day close with zero post-publication restatements and forecast accuracy inside 5 percent. For a portfolio company it might be EBITDA conversion to cash above 80 percent. If nothing changes at the threshold, the metric is decoration.
   4. In an analytics or credit seat I would answer it about the work itself: good means the number is right, it is reproducible by someone else from the source, it arrives before the decision is made, and it comes with the one sentence that says what to do about it.
   5. And I would be explicit about what good is not: not the most detailed, not the prettiest dashboard, not the most conservative. Those are all ways of avoiding a judgement.
   6. So the short version: good is a defined threshold, against a named comparison, that changes a decision when it is crossed.

   Where candidates lose it

   Answering with adjectives. The question is deliberately open and it is testing whether you instinctively ask 'compared with what, and what would we do differently'. Push back for the benchmark, then give a concrete threshold.

   Expect next

   • Then what does good look like for a reporting analyst?
   • How would you set the threshold if you had no peer data?
   • What does bad look like?

   Reported by candidates at Golub Capital (Analytics, Chicago, 2023). Source: Wall Street Oasis.

4. 044How would you design the KPI set for a business unit that has never had one?Variance and management reportingIntermediatetechnicalCorporate FP&ABusiness finance

   Say this

   Start from the decisions the unit head makes weekly, work back to the drivers behind them, and pick the fewest metrics that cover outcome, driver and risk. Five to eight, each with an owner, a definition and a target. Any more and none of them get acted on.

   Then walk it

   1. One or two outcome metrics that the unit is judged on, for example gross margin in rupees and cash conversion. These are lagging and that is fine, they are the scoreboard.
   2. Three or four leading driver metrics that move those outcomes and can be influenced this week: pipeline coverage, on-time delivery, utilisation, realisation per unit, receivable days. Leading metrics are the only ones that let you intervene in time.
   3. One risk or quality metric to stop the drivers being gamed. Push utilisation without tracking attrition or rework and you get a short-term win and a longer-term problem.
   4. Every metric needs four things written down: the definition including the exact data source, the owner by name, the frequency, and the target with a threshold for action. A metric without a defined denominator will be argued about instead of acted on.
   5. Test each candidate against two questions: can the owner actually influence it, and would a red reading change a decision? Anything that fails both comes out. That usually removes half the first draft.
   6. The failure mode I would guard against is Goodhart's law. Whatever you measure gets optimised, including in ways you did not intend, so I would review the set after two quarters and check what behaviour it produced, not just whether the numbers improved.

   Where candidates lose it

   Producing a long list of financial metrics. The interviewer wants the outcome, driver and risk structure, the fact that drivers are the actionable ones, and an owner and definition for each. Mentioning gaming risk sets a good answer apart.

   Expect next

   • Give me a KPI set for a warehouse operation.
   • How do you stop a KPI being gamed?
   • How often should the set change?
5. 045You built a dashboard and nobody uses it. What went wrong?Variance and management reportingIntermediatetechnicalCorporate FP&AGCC finance centres

   Say this

   Usually one of three things: it answers a question nobody asked, it arrives after the decision, or people do not trust the numbers. I would go and watch three users for twenty minutes each before touching the design.

   Then walk it

   1. The relevance failure is the most common. Finance builds what finance finds interesting. If the sales head decides territory allocation weekly and the dashboard shows monthly margin by legal entity, it is irrelevant to them however accurate it is.
   2. The timeliness failure: a perfect pack on day ten when the operating review is on day six. Late and right loses to early and roughly right, every time.
   3. The trust failure: one number that disagreed with the system of record, once, and the whole dashboard is dead. Recovering trust takes a documented definition per metric and a visible reconciliation to the source.
   4. Then the design failures, which are real but secondary: too many metrics, no comparison so the viewer cannot tell good from bad, no drill-down to the transaction, and no commentary telling them what changed.
   5. So my fix sequence is: interview users about the decisions they make and when, cut the metric count hard, reconcile every metric to the ledger and publish the definitions, then land it before the review meeting and include three lines of written commentary.
   6. And I would measure adoption directly, because usage logs are the only honest feedback. If a page has three views a month, delete it rather than defend it.

   Where candidates lose it

   Answering with visual design fixes. The failure is almost never chart choice; it is relevance, timing or trust. Saying you would watch users and check the reporting calendar is what marks out someone who has done this in a real organisation.

   Expect next

   • How would you rebuild trust after one wrong number?
   • What would you cut from a 30-metric dashboard?
   • Actual, budget, forecast or prior year: which comparison leads?

Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.