Hedge Funds interview preparation
Long-short equity, macro, event-driven, distressed, multi-manager platforms and the Indian Category III landscape. 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 — answers lead with the point, then the mechanism, then the limitation.
100 questions, mapped to the firms that asked them
- Questions
- 100
- Traced to a firm
- 39
- Firms
- 16
- Updated
- September 2026
035Write a function that returns the n largest drawdowns in a return series.Balyasny Asset ManagementQuantitative Trading · London · 2025
Say this
Build the cumulative NAV, walk it once tracking the running peak, and record a drawdown episode whenever the series falls below a peak and then makes a new high. Each episode gets a depth, a start, a trough and a recovery date. Then sort the episodes by depth and return the top n. It is a single linear pass.
Then walk it
- Step one: turn returns into a wealth index, cumulative product of one plus r. Do this before anything else, because drawdowns are multiplicative and summing returns gives the wrong depth.
- Step two: running maximum of the wealth index. The drawdown series is wealth divided by running max, minus one, which is zero or negative at every point.
- Step three, the part interviewers actually test: segment into episodes. An episode opens when the drawdown series goes below zero and closes when it returns to zero, meaning a new high water mark. Within each episode the trough is the minimum.
- Step four: sort episodes by depth, take the first n. Say the complexity: O(T) for the pass plus O(k log k) for the sort, where k is the number of episodes, so linear in practice.
- State the edge cases before being asked, because this is where candidates get cut: the series ends while still in a drawdown, so the last episode is unrecovered and you should report it with no recovery date. Also decide whether overlapping nested dips count as one episode or several, and say which convention you are using.
- The naive alternative is to take the n most negative points of the drawdown series, and it is wrong: they will all sit inside the same crash. Volunteering why that fails is what shows you understood the question rather than pattern-matched it.
Where candidates lose it
Returning the n most negative values of the drawdown series. They cluster in one episode, so you report the same crash n times. The question is really about episode segmentation. Also, sum returns instead of compounding them and every number is wrong. State your episode convention out loud.
Expect next
- How would you handle a series that ends mid-drawdown?
- How would you report time to recovery?
- How would you do this for a portfolio of a thousand instruments efficiently?
Reported by candidates at Balyasny Asset Management (Quantitative Trading, London, 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.
