Equity Research interview preparation

Questions

100

Traced to a firm

72

Firms

45

Updated

September 2026

Asked at

All firmsMorningstar12Man Group6Balyasny Asset Management5BLBlackRock5FTFranklin Templeton5MSCI5Jefferies4CSCredit Suisse3Fidelity Investments3Moody's3Perella Weinberg Partners3Point723S&P Global3The Vanguard Group3WMWellington Management3Advent International2Apollo Global Management2Bank of America2Carlyle Group2DED.E. Shaw2Houlihan Lokey2HSBC2Piper Sandler2Sequoia Capital2SSState Street2Viking Global Investors2WBWilliam Blair2ACAQR Capital Management1BGBaupost Group1BMBNY Mellon1Centerview Partners1Coatue Management1Goldman Sachs1GSGuggenheim Securities1HWHarris Williams1Insight Partners1Invesco1Mizuho1Moelis & Company1MSMorgan Stanley1PIMCO1SCSchroders1Scotiabank1T. Rowe Price1TSTruist Securities1

Topic

All topicsResearch process9Stock pitch6Company analysis8Investment philosophy5Valuation14Modelling2Portfolio and risk8Macro8Sector knowledge2Accounting8Career and fit12Industry knowledge6Quantitative research1Sector: technology3Sector: consumer1Sector: healthcare1Sector: energy1Sector: financials2Sector: industrials1Case and estimation2

Level

AnyCoreIntermediateHard

Type

AnyTechnicalCaseFitBrainteaserMarket view

1. 053How would you check a company's claims independently?Research processHardtechnicalPoint72Investment Research · New York · 2026

   Say this

   Triangulate from sources the company does not control: customers, suppliers, competitors, ex-employees, regulatory filings, import and export data, job postings and pricing you can observe yourself.

   Then walk it

   1. Channel checks: talk to distributors, customers and competitors. If a company claims it is taking share, the people losing it will know.
   2. Alternative data: web traffic, app downloads, credit card panels, satellite imagery of car parks or storage tanks, shipping and customs data. Each is noisy alone but they corroborate.
   3. Public records nobody reads: regulatory filings in other jurisdictions, patent filings, litigation dockets, local permits, and the subsidiary accounts filed in countries with granular disclosure.
   4. Hiring data: job postings reveal expansion plans, technology stacks and which functions are growing, usually before anything is announced.
   5. Cross-check within the filings themselves: segment disclosures, the tax footnote and geographic breakdowns often disagree with the narrative in the press release.
   6. And the boundary that matters professionally: everything must be from public or properly sourced channels, with no material non-public information from an insider. In a hedge fund interview, saying that unprompted is the right instinct, because it is a compliance question as much as a research one.

   Where candidates lose it

   Not mentioning the compliance boundary. In a multi-manager or hedge fund interview, an enthusiastic answer about getting information from insiders is disqualifying. Name public sourcing and expert-network rules explicitly.

   Expect next

   • What are the compliance limits on expert calls?
   • How do you weigh noisy alternative data?
   • Give me an example where a check changed your view.

   Reported by candidates at Point72 (Investment Research, New York, 2026). Source: Wall Street Oasis.

2. 087Tell me about a time you were wrong about a stock.Career and fitIntermediatesuperdayMorningstarEquity Research · Chicago · 2023Point72Investment Research · New York · 2026

   Say this

   Give a real position, state the thesis you held, say what actually happened, and identify the specific analytical error rather than blaming the market. Then the process change it caused.

   Then walk it

   1. State the original thesis in one sentence, exactly as you held it at the time. Reconstructing it charitably in hindsight is obvious and undermines the whole answer.
   2. Then what happened and what you missed. Be specific about the type of error: you overestimated pricing power, you trusted a management forecast, you ignored the balance sheet, you anchored on the purchase price.
   3. Distinguish a bad decision from a bad outcome. Some losses come from good process and bad luck; others from process failure. Showing you can tell them apart is the highest-value part of the answer.
   4. Say what you did when the evidence turned. Did you cut, add, or freeze? Freezing is the honest answer for most people and admitting it is fine if you explain what you now do instead.
   5. Then the process change, concretely. 'I now write the falsifier down when I initiate and check it every quarter' is better than 'I learned to be more careful'.
   6. Avoid stories where you were secretly right and the market was wrong. That is not an answer about being wrong.

   Where candidates lose it

   Choosing a loss you can blame on an external shock. That avoids the question. Pick one where the error was yours and where the lesson changed a specific habit.

   Expect next

   • Was that a bad decision or a bad outcome?
   • What do you do differently now?
   • How long did it take you to change your mind?

   Reported by candidates at Morningstar (Equity Research, Chicago, 2023); Point72 (Investment Research, New York, 2026). Source: Wall Street Oasis.

3. 089What is the case study process here, and how would you approach a two-week modelling test?Career and fitIntermediatecase studyPoint72Investment Banking · London · 2026DED.E. ShawGeneralist · New York · 2025

   Say this

   Treat it as a recommendation, not a model. Spend the first day deciding what the investment question is, then build only the model you need to answer it, and reserve the last quarter of the time for the write-up.

   Then walk it

   1. Identify the decision first. What is the one variable this investment turns on? Everything you build should serve answering that.
   2. Build a model sized to the question. A beautiful 20-tab model that does not resolve the debate scores worse than a three-tab model that does. Graders are checking judgement about materiality.
   3. Do primary work. Transcripts, competitor filings, industry data, and anything you can verify externally. This is what separates entries, because everyone can build a model.
   4. Structure the output like a note: recommendation and target up front, the variant view, the evidence, the valuation, the risks and the falsifier. Never make the reader hunt for your conclusion.
   5. Sensitise honestly. Show the bear case with a number attached, and say what you are least confident about. Overclaiming certainty is the most common way candidates lose credibility.
   6. Then rehearse defending it out loud, because the presentation is usually where the decision is made. Expect them to attack your weakest assumption, and have the downside quantified before they ask.

   Where candidates lose it

   Spending all the time on the model and writing the conclusion in the last hour. The model is the working; the recommendation is the product. Budget time backwards from the write-up.

   Expect next

   • How did you get your assumptions?
   • What is the bear case worth?
   • What would you have done with another week?

   Reported by candidates at Point72 (Investment Banking, London, 2026); D.E. Shaw (Generalist, New York, 2025). Source: Wall Street Oasis.

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.