Quant interview preparation
Prop market making and quantitative research, weighted the way the interviews actually are: probability and expected value, statistics and machine learning, market making logic, programming and options. Every question is either traced to a named firm from a public candidate report, or tagged at desk level when we could not trace it, and every probability answer shows the reasoning path rather than just the number.
100 questions, mapped to the firms that asked them
- Questions
- 100
- Traced to a firm
- 53
- Firms
- 15
- Updated
- September 2026
095What do you like about our culture, and why us rather than another prop shop?Susquehanna International GroupProp Trading · Dublin · 2025
Say this
Pick two or three things that are specific to them and that you can trace to something you have actually done or want. Generic praise is worse than saying less. And make one of the reasons about the work rather than the perks.
Then walk it
- Do the homework that is actually available. How they train juniors, whether they trade their own capital, which products they are strongest in, whether teams are small and autonomous or large and specialised, and how they talk about decision-making in their own materials.
- Then connect it to yourself with evidence. If a firm is known for a structured decision-theory and poker-influenced training culture, say that you have played seriously, what it taught you about sizing and about separating process from outcome, and why you want that as the house language.
- Name the products or the seat. Wanting to trade options because you find the surface a genuinely hard pricing problem is a specific, checkable reason. Wanting to be at a firm because it is prestigious is not.
- Reference people if you have spoken to them, honestly. What you asked, what surprised you. A single concrete detail from a conversation beats a paragraph of adjectives.
- And say one thing you are testing rather than asserting. For example: what I have read suggests decisions are pushed down to small teams, and I want to check whether a first-year really gets to argue with a senior trader about a price. That turns the answer into a two-way conversation, which is what the question is for, and it is much harder to fake than flattery.
Where candidates lose it
Praising collaborative culture and meritocracy, which describes every firm's website. Also do not name a culture attribute you cannot connect to your own behaviour. The interviewer is testing whether you would fit and whether you have done any real diligence, so bring two specifics and one genuine question.
Expect next
- Who have you spoken to here?
- What would make you turn down an offer from us?
- What is your understanding of how we make money?
Reported by candidates at Susquehanna International Group (Prop Trading, Dublin, 2025). Source: Wall Street Oasis.
098How would you describe the internet to someone who has just time travelled from thirty years ago?CitadelQuantitative Trading · Sydney · 2025
Say this
Anchor it in something they already have, then build outward. Thirty years ago they had a telephone network and a public library, so I would say: imagine the phone system, but instead of connecting two people it connects every machine, and instead of voices it carries copies of anything written down.
Then walk it
- Start from their reference frame. Someone from the mid-nineties knows telephones, fax machines, libraries, post and television. Every explanation should be a modification of one of those, not a new concept from scratch.
- Then the one structural idea that makes everything else follow: the cost of copying and sending information fell to approximately zero, and nobody owns the middle of the network. From that single fact you can derive email, search, shopping, streaming and social media without explaining any of them separately.
- Give one concrete, checkable example. The entire contents of that library, searchable in a quarter of a second from a device in your pocket, and it is free because someone sells advertising next to the answer.
- Then say what they would find strangest, because that is the interesting part of the answer. Not the technology but the consequences: that attention became the scarce resource, that distance stopped mattering for information but not for goods, and that privacy became something you trade rather than something you have.
- Check understanding rather than lecturing. I would ask them what they want to do with it and explain that, because the tailored answer lands and the general one does not. This question is a communication test, so the move that scores is structure plus adapting to the listener, not encyclopaedic completeness.
Where candidates lose it
Diving into TCP/IP, packets and DNS. The question tests whether you can teach, not whether you know how it works. Anchor in their existing mental model, lead with one organising idea, and use a concrete example. Rambling without structure is the common failure, so state your three-part plan before you start.
Expect next
- Now explain machine learning to the same person.
- What would they find most surprising about the consequences?
- Do it in thirty seconds instead.
Reported by candidates at Citadel (Quantitative Trading, Sydney, 2025). Source: Wall Street Oasis.
099Tell me about a personal investment decision and how you approached it.SchonfeldQuantitative Research · New York · 2021
Say this
Pick a real decision, however small, and describe the process rather than the outcome: what you believed, why, how you sized it, what would have proved you wrong, and what happened. A modest position analysed honestly beats a large winner you cannot explain.
Then walk it
- State the thesis as it was at the time, not as hindsight has edited it. Include the number: what it traded at, what you thought it was worth, and what the market was apparently assuming that you disagreed with.
- Then sizing, which is where most candidates are silent and where a hedge fund is listening hardest. What fraction of your capital, and why that fraction. The answer it was a small position because I might be wrong is fine and honest.
- Then the falsification: what would have told you the thesis was breaking, and did you actually watch for it or did you stop looking once you were up.
- Then the outcome, separated from the process. It is entirely acceptable to say the thesis was wrong and I made money anyway, or the thesis was right and I lost because I was early. Being able to separate those two is the single most valuable thing you can demonstrate.
- Close with what you changed afterwards. A specific process change, like I now write the thesis down before I buy so I cannot rewrite it later, is worth more than any performance claim. And if your investing is simply index funds because you have no edge, say that. It is a defensible and intellectually honest answer, as long as you can explain why you think you have no edge there and would have one in a research seat.
Where candidates lose it
Telling a story about a stock that went up and claiming credit for it, or describing crypto gains with no process. They are testing whether you separate skill from luck. Also do not fabricate a sophisticated process. If your real answer is index funds plus one small position you researched properly, say exactly that.
Expect next
- How did you size it, and why?
- What would have made you sell?
- Was the outcome down to the thesis or to luck?
Reported by candidates at Schonfeld (Quantitative Research, New York, 2021). Source: Wall Street Oasis.
100You are working through a problem and you cannot finish it. How do you handle that in an interview?Jane StreetEngineering · New York · 2026
Say this
Keep talking, and make the thinking visible. How you got there matters more than whether you got there. State what you know, name the structure you are looking for, say what you have ruled out and why, and put a bound on the answer even when you cannot compute it exactly.
Then walk it
- Narrate the state of your reasoning, not just your conclusions. This is what I think the answer depends on, here is the approach I tried, here is why it failed, here is what I would try next. That is a gradeable answer even without a number.
- Give a bound or an approximation. The answer is between a half and two thirds, and here is the argument for each side, is worth far more than silence. Traders live on bounds.
- Simplify deliberately and say that you are doing it. Do the two-dice version, or the n equals 2 case, or the discrete version of the continuous problem, then say I would extend this by induction. Interviewers will usually let you.
- Ask for the hint properly. Not I am stuck, but I think the sticking point is whether these events are independent. Am I right that they are not? That is a precise question and it shows you know where the difficulty lives.
- And do not bluff, ever. A confident wrong assertion is far worse than an honest I do not know this result, but here is how I would derive it. On a trading desk, someone who hides uncertainty is dangerous, so the willingness to say I am not sure, with a reason, is itself part of what is being assessed.
Where candidates lose it
Going silent while you think, or worse, asserting something you do not believe to fill the gap. Silence gives the interviewer nothing to grade, and bluffing fails the honesty test that every trading firm runs. Narrate, bound the answer, simplify the problem, and ask a precise question when you need one.
Expect next
- Tell me about a time you were confidently wrong.
- How do you decide when to abandon an approach?
- What would you do if a senior trader gave you a number you thought was wrong?
Reported by candidates at Jane Street (Engineering, New York, 2026). 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.

