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. 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.

2. 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.