Hedge Funds interview preparation

Questions

100

Traced to a firm

39

Firms

16

Updated

September 2026

Asked at

All firmsMan Group10Balyasny Asset Management7Bridgewater Associates3DED.E. Shaw3Apollo Global Management2KKR2Oaktree Capital Management2Point722SCSquarepoint Capital2ACAQR Capital Management1BGBaupost Group1Coatue Management1HPS Investment Partners1Northern Trust1Viking Global Investors1Wolverine Trading1

Topic

All topicsStrategy taxonomy8Stock pitch10Short selling6Portfolio construction8Risk and drawdown8Performance and alpha7Event-driven and merger arb8Distressed and credit5Fund structure and economics7Financing, NAV and operations6Compliance and research process5Quant and systematic6India and Category III AIFs5Career and fit11

Level

AnyCoreIntermediateHard

Type

AnyTechnicalMarket viewBrainteaserCaseFit

1. 011Are you sure your thesis can be backed up? What if their costs do not fall?Stock pitchHardsuperdayApollo Global ManagementInvestments · Remote · 2021

   Say this

   Answer the substance, do not defend the position. Give the evidence behind the cost assumption, quantify what the stock is worth if you are wrong, and say where you would cut. Under pressure, the willingness to concede the weak leg is worth more than conviction.

   Then walk it

   1. Evidence first, and be specific. 'Management guided to it' is weak. 'The input contract repriced in Q2, gross margin already moved 180 basis points, and two quarters of run-rate are visible in the reported numbers' is strong.
   2. Then price the downside. 'If costs stay flat, EBITDA is 12 percent below my number, the multiple compresses to peers, and the stock is worth 48 rather than 85. From 62 that is about 22 percent down.'
   3. Then the asymmetry, which is the real defence. 35 up against 22 down still works at even probability, and I would size it accordingly rather than at a full weight.
   4. Then the monitoring plan. Which disclosure tells you early, and by when. If the cost curve is visible in a monthly input price or a quarterly gross margin line, the thesis is testable in real time and that is what makes it a hedge fund position.
   5. Then concede properly where you should. 'You are right that the cost assumption is the weakest leg, so I would start at half size and add on the first print that confirms it' is a better answer than digging in.
   6. And name the structural hedge. If the cost concern is industry-wide rather than company-specific, you can pair the long against a competitor with the same input exposure and isolate the part you actually have a view on.

   Where candidates lose it

   Defending emotionally, or answering a different question than the one asked. This is a test of whether you update on evidence. Candidates who repeat the bull case with more adjectives fail; candidates who quantify the bear case and name a stop pass even if the interviewer keeps pushing.

   Expect next

   • At what price would you stop out?
   • How would you size it given that uncertainty?
   • What would you have to believe for the bear case to be right?

   Reported by candidates at Apollo Global Management (Investments, Remote, 2021). Source: Wall Street Oasis.

2. 012Take me through a structured investment idea the way you would present it to a portfolio manager.Stock pitchHardcase studyPoint72Investment Banking · London · 2026

   Say this

   A PM has five minutes and wants four things: what the trade is, what you know that they do not, what it is worth if you are right and wrong, and what kills it. Structure it in that order and answer the question asked before you show your work.

   Then walk it

   1. Page one is the trade and the sizing. Long, short or paired, entry, target, downside, horizon, and the risk you want to take in the book. Everything else supports this page.
   2. Page two is the variant view with consensus next to your number. A PM reads this page and nothing else if they are busy.
   3. Page three is the mechanism: the two or three drivers that get you from today's numbers to yours, each with the evidence behind it. Volume, price, mix, cost, capital allocation. No page of company history.
   4. Page four is the risk map: the bear case with a price, the two things that break it, the dated falsifiers, and the hedge if the idea has an unwanted factor or sector exposure.
   5. Then the questions you could not answer. Naming them yourself is a credibility move at a platform, because the PM will find them anyway and would rather find them in your appendix than in the P&L.
   6. Business judgement is what is actually being graded in a case like this. That means industry structure, who has pricing power, where the profit pool sits, and whether the company's advantage is durable. A model with no industry view is a spreadsheet, not an idea.

   Where candidates lose it

   Building up to the recommendation. Analysts trained on client decks lead with company overview and market sizing and lose the room. Put the trade in the first sentence, and make sure something in the case shows judgement rather than arithmetic, because that is the explicit test.

   Expect next

   • What is the single best argument against this idea?
   • How would you express it if you could not short the obvious hedge?
   • What would you need to see to double the size?

   Reported by candidates at Point72 (Investment Banking, London, 2026). Source: Wall Street Oasis.

3. 013What is your favourite telecom stock?Stock pitchIntermediatetechnicalBalyasny Asset ManagementGeneralist · New York · 2020

   Say this

   Pick one, commit to it, and make the answer about the sector's economics rather than the company's story. Telecom is a capital intensity and pricing-power question: the winner is whoever earns a return above cost of capital on the network they have already built.

   Then walk it

   1. Frame the sector first, in one line. Telecom is a high fixed cost, low marginal cost, heavily regulated oligopoly where the swing variables are subscriber pricing, capex intensity and spectrum cost.
   2. Then the metrics that matter, which are not the ones from other sectors. ARPU, churn, subscriber net adds, capex as a percent of sales, EBITDA less capex, and net debt to EBITDA. Leverage is structurally high, so the equity is a levered bet on ARPU.
   3. Then the actual pick with a number. For instance, a market where three players have replaced four and tariffs are rising: the operator with the lowest cost per gigabyte and the most spectrum gets disproportionate incremental margin because every new subscriber drops through at near-zero marginal cost.
   4. The India angle is genuinely the best telecom case study going, and worth using if you know it. Tariff repair after consolidation moved ARPU up materially, and the equity story became entirely about whether that pricing held while capex rolled off.
   5. Say the bear case in the same breath. Spectrum auctions are a recurring, unavoidable capital call; a price war resets the whole thesis in a quarter; and regulated markets can hand a windfall to the consumer at any point.
   6. Then the hedge, since this is a hedge fund question. Long the share gainer, short the subscale operator with the same spectrum costs and worse coverage. Same regulatory risk, opposite unit economics, and the trade isolates the operating gap.

   Where candidates lose it

   Answering with a household name and a vague 5G story. The interviewer is testing whether you know the sector's unit economics. If you cannot say ARPU, churn and capex intensity for the name you picked, pick a different sector. Also do not say 'I do not follow telecom' and stop; name what you do follow and offer that instead.

   Expect next

   • What is ARPU doing in that market and why?
   • How would you short telecom?
   • How do you value spectrum?

   Reported by candidates at Balyasny Asset Management (Generalist, New York, 2020). Source: Wall Street Oasis.

4. 014What moves a stock?Stock pitchCorephone / first roundBalyasny Asset ManagementEquity Hedge · Chicago · 2021

   Say this

   Only two things: a change in expected cash flows, or a change in the rate those cash flows are discounted at. Everything else on a screen is one of those two arriving through some channel. Over a day, it is the surprise versus expectations rather than the level of the news.

   Then walk it

   1. Numerator effects: revisions to revenue, margin, capex and the duration of growth. The bulk of single-stock moves on results days are revision events, not valuation events.
   2. Denominator effects: risk-free rates, equity risk premium, the stock's own beta and perceived risk. These move whole sectors at once, which is why a long-only manager can be right on the company and wrong on the price.
   3. The crucial refinement for a hedge fund seat: prices move on the delta versus expectations, not on the absolute number. A company can grow earnings 20 percent and fall 10 percent because the buy side expected 25.
   4. Then the flow and positioning layer, which fundamental candidates skip and traders never do. Who owns it, how crowded it is, short interest, index inclusion, lock-up expiries, buybacks, and how the stock is set up into a catalyst.
   5. So on a results day the question is never 'were the numbers good'. It is 'were they better than the buy side whisper, and how was the stock positioned going in'. A beat into a crowded long can still sell off hard.
   6. One number to anchor it: for a long-duration equity, a 100 basis point move in the discount rate can be worth 15 to 20 percent of value with no change at all to the business. That is why rates dominate whole quarters of single-stock performance.

   Where candidates lose it

   Reciting a list of news categories. The answer is a framework with two boxes, and the sophistication is in adding expectations and positioning. Say the phrase 'relative to what was expected' or a hedge fund interviewer will assume you have only ever read sell-side notes.

   Expect next

   • How do you find out what the buy side actually expects?
   • A company beats and the stock falls 8 percent. What happened?
   • How do you think about the valuation drivers of a name?

   Reported by candidates at Balyasny Asset Management (Equity Hedge, Chicago, 2021). Source: Wall Street Oasis.

5. 015How do you think about the valuation drivers of a name?Stock pitchIntermediatetechnicalBalyasny Asset ManagementEquity Hedge · Chicago · 2021

   Say this

   I reduce the multiple to its drivers rather than treating it as a given: growth, return on incremental capital, and risk. Two companies on the same multiple with different reinvestment economics are not priced the same, and that gap is usually where the trade is.

   Then walk it

   1. Start from the identity. Value is this year's cash flow, grown at g, discounted at r. So the multiple is a function of growth, the cost of capital and how much capital the growth consumes.
   2. Reinvestment is the part people skip. Growth is only valuable if the return on incremental invested capital exceeds the cost of capital. A company growing 15 percent at a 6 percent return on capital is destroying value while looking exciting.
   3. So I run three numbers on every name: organic growth, return on incremental capital, and free cash conversion. Those three explain most of the cross-sectional multiple dispersion inside a sector.
   4. Then I use a reverse DCF to make the multiple concrete. At today's price, what growth and margin does the market require? That converts an abstract multiple into a testable forecast I can agree or disagree with.
   5. Then the risk side: earnings duration, cyclicality, customer concentration, and leverage. A levered cyclical deserves a lower multiple on trough earnings, and mechanical peer-multiple comparisons miss that entirely.
   6. The limitation I would state: multiples embed the market's view of duration, which is unobservable. That is why I use the reverse DCF to find the implied assumption rather than arguing that 14 times is cheap because the peer is on 17.

   Where candidates lose it

   Answering with a list of valuation methodologies. The question asks what drives value, not which spreadsheet you build. Growth, return on incremental capital and risk, then a reverse DCF to make it concrete. A candidate who says 'DCF, comps and precedent transactions' has answered a banking question in a hedge fund interview.

   Expect next

   • Two companies in the same industry trade at 12 and 22 times. What could justify that?
   • How do you use a reverse DCF?
   • When is a low multiple a trap?

   Reported by candidates at Balyasny Asset Management (Equity Hedge, Chicago, 2021). Source: Wall Street Oasis.

6. 016Tell me about the case competition you did, and what happened to the stock afterwards.Stock pitchIntermediatefirst roundPoint72Investment Research · New York · 2026

   Say this

   Know what the stock did after your pitch, and know why. The follow-up is the whole question. Whether it worked matters far less than whether you can say which part of your thesis was right, which was wrong, and what you would do differently.

   Then walk it

   1. Give the pitch in three sentences: name, the variant view, the target. Do not re-present the deck.
   2. Then the outcome with numbers and a date. 'Pitched it at 34 in March, it is 46 now, so up about 35 percent against a flat sector.'
   3. Then the honest attribution, which is the part they are grading. Did it work for your reason or for a different one? A stock that went up because the whole sector re-rated is not a vindicated thesis, and saying so is a strong signal.
   4. If it went against you, that can be the better answer. 'I was right on the volume ramp and wrong on pricing, which I had underweighted because I anchored on management commentary rather than checking channel pricing myself.'
   5. Then the process change. One specific thing you do differently now. That converts a story into evidence that you learn.
   6. Keep tracking it, right up to the interview. Nothing kills this answer faster than not knowing where the stock trades today, because it says you stopped caring once the competition ended.

   Where candidates lose it

   Not knowing the current price. It is the most predictable follow-up in a hedge fund interview and candidates still walk in without it. Second trap: claiming a win that was really a sector move. Interviewers check, and attributing your own P&L honestly is exactly the skill they are hiring for.

   Expect next

   • Where does it trade now, and would you still own it?
   • Was it right for your reason?
   • What would you do differently on the next one?

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

7. 017How did you get the assumptions and calculations in your case study?Stock pitchHardcase studyDED.E. ShawGeneralist · New York · 2025

   Say this

   Go line by line and separate the three kinds of input: facts from disclosure, estimates built bottom-up from a driver, and judgement calls. Say which is which for every important number, and cite the source for the facts.

   Then walk it

   1. Facts first: pull them from primary disclosure and say where. 'Installed base of 1.4 million units is from the 2025 annual report, segment note 4.' Never from a secondary summary if the filing exists.
   2. Then the built estimates. Show the decomposition rather than the result. Revenue is units times price, units are installed base times replacement rate, and the replacement rate comes from the reported life of the asset. Now the number is auditable.
   3. Then the judgement calls, flagged as such. 'I assumed a 60 percent attach rate on the new product. There is no disclosure, so I triangulated from the competitor who does report it and haircut it for their head start.'
   4. Then sensitivity. Say which assumption the answer is actually sensitive to. Most models have one or two inputs that move the value and ten that do not, and knowing which is which is the sign of someone who has built models rather than filled them in.
   5. Then the cross-check. Does the implied market share exceed the whole addressable market in year five? Does the implied margin exceed the best operator in the industry? A bottom-up model with no top-down reality check is where the embarrassing errors live.
   6. Honest close: name the number you are least confident in, and what you would go find if you had another week. Interviewers at quantitative shops are probing whether you know the difference between a number you derived and a number you liked.

   Where candidates lose it

   Saying 'industry reports' or 'I assumed it grows in line with GDP' for a number that drives the whole answer. That reads as reverse-engineering the model to a conclusion. Label facts, estimates and judgement separately, and volunteer the one assumption the valuation is most sensitive to before you are asked.

   Expect next

   • Which assumption is the answer most sensitive to?
   • What is the implied market share in year five?
   • What would you check if you had another week?

   Reported by candidates at D.E. Shaw (Generalist, New York, 2025). Source: Wall Street Oasis.

8. 018How would you perform a whitespace analysis?Stock pitchIntermediatecase studyViking Global InvestorsQuantitative Research · New York · 2024

   Say this

   Whitespace analysis maps where a company could sell but currently does not, and then asks how much of that gap is actually reachable. It is a growth-runway tool: define the full addressable grid, mark what is already penetrated, and size the remainder with an honest win rate.

   Then walk it

   1. Build the grid explicitly. Two or three axes that matter: customer segment by geography by product. Cells are combinations, and every cell gets a size and a current penetration.
   2. Get the penetration from disclosure and bottom-up data rather than management's TAM slide. Customer counts, store counts, licence counts, segment revenue, and where possible third-party data like app downloads or job postings.
   3. Then subtract what is not really reachable. Cells owned by an entrenched incumbent with switching costs, cells where the product does not fit without heavy investment, cells where regulation blocks entry. That haircut is the analytical content of the exercise.
   4. Then convert it to a number the model can use. Reachable whitespace times a realistic win rate over a defined period equals incremental revenue, and I would keep the win rate low enough to be defensible, often 10 to 20 percent rather than a third.
   5. Cross-check against history. If the company has been adding 400 customers a year and your whitespace implies 2,000 a year, the whitespace is not the constraint, execution is. Reconcile the two or drop the analysis.
   6. The limitation to say out loud: whitespace tells you the ceiling, not the path. Plenty of companies with enormous whitespace never grow, because the gating factor is sales capacity or the economics of serving the marginal customer, not the size of the opportunity.

   Where candidates lose it

   Producing a large TAM number and calling it a thesis. TAM slides are marketing. A credible whitespace analysis is mostly about what you exclude and the win rate you apply, and it must reconcile with the company's demonstrated rate of expansion.

   Expect next

   • How would you validate the penetration numbers independently?
   • What win rate would you use, and why?
   • Where does this analysis mislead you?

   Reported by candidates at Viking Global Investors (Quantitative Research, New York, 2024). Source: Wall Street Oasis.

9. 019Pitch me a short.Short sellingIntermediatesuperdayLong-short equityShort-biased funds

   Say this

   Same structure as a long, but three extra things have to be in the pitch: why the market is wrong in a way that resolves on a clock, what the borrow costs, and what blows you up. Shorts are timing trades, not valuation trades, so name the catalyst before the valuation.

   Then walk it

   1. Lead with the trade and the constraint. 'Short X at 40, target 25, borrow is 3 percent annualised and there is ample availability, and I would cap it at 2 percent of the book because short interest is already 9 percent of float.'
   2. Then the thesis, and pick a category. The good short buckets are structural decline being extrapolated as cyclical, accounting that overstates earnings quality, a broken unit economic that growth is masking, and a balance sheet that needs to refinance into a worse market.
   3. Then the catalyst with a date, because time works against a short. A refinancing, a covenant test, a lock-up expiry, a competitor's capacity coming online, a guidance reset. Valuation alone does not close a short.
   4. Then the carry. Borrow cost, dividends you owe, and the interest you earn on the proceeds. A 12 percent borrow means you need the thesis to work within months, not years, and saying that shows you have actually shorted something.
   5. Then the blow-up risk, explicitly. Float, short interest as a percent of float and days to cover, retail interest, index events, and whether the company could do something reflexive like a buyback, a raise or getting acquired. A takeout is the classic way a good short thesis loses 40 percent overnight.
   6. Close with sizing and stop. Shorts get smaller as they go against you in risk terms because the position grows, so I would run a hard stop and a smaller starting size than an equivalent-conviction long.

   Where candidates lose it

   Pitching an expensive stock. 'It trades at 60 times earnings' is not a short thesis, it is an observation, and the last decade has been brutal to people who thought otherwise. Also, candidates forget the borrow and the squeeze risk entirely, which tells a PM you have never actually been short anything.

   Expect next

   • What is the borrow on that name?
   • What is short interest as a percentage of float?
   • What would make you cover?
10. 020How is a short thesis different from a long thesis?Short sellingIntermediatetechnicalLong-short equity

    Say this

    The payoff is inverted and the clock runs the other way. A long can compound while you wait and your loss is capped at 100 percent; a short bleeds carry while you wait, your loss is unbounded, and the position grows as it moves against you. So a short thesis needs a catalyst where a long thesis can survive on patience.

    Then walk it

    1. Asymmetry first. A short that halves makes you 50 and the position shrinks. A short that triples loses you 200 and the position has tripled in size. Risk management is therefore built into the thesis, not bolted on.
    2. Time is a cost. You pay borrow, you owe the dividends, and equity markets drift upwards, so a short has a negative expected return from the market factor alone. That is why the market drift is roughly a 7 to 9 percent annual headwind you have to beat.
    3. Reflexivity is against you. A falling stock can be rescued by a buyback, an equity raise, an activist, a takeout or a short squeeze. A rising stock has no equivalent mechanism working against a long.
    4. Information dynamics differ. Company access is worse, management will not help you, sell-side coverage is almost uniformly positive, and you are arguing against the promotional side of the market.
    5. So the thesis has to be harder edged: fraud or accounting distortion, a genuine structural decline, a funding wall, or a specific dated event. Vague overvaluation is a long thesis in reverse and it does not survive.
    6. And sizing discipline is different in kind. Most disciplined books cap single-name shorts well below the maximum long, and many will not short a name with heavy retail ownership at all regardless of the thesis.

    Where candidates lose it

    Treating a short as 'the opposite of a long'. It is not symmetric in payoff, in carry, in information access or in position growth. If you can only describe it as a mirror image, a PM will assume you have never run one and will not trust you with the short book.

    Expect next

    • How much smaller would you size a short than a long of the same conviction?
    • Would you ever short a name with 20 percent of the float short?
    • How do you deal with the market drift working against you?

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.