ProbabilityHardResearch round
Interview library · London, United Kingdom
D. E. Shaw quant interview questions in London
20 questions · 3 reported stages · rank 2 market · pay in GBP
What is the D. E. Shaw quant interview like in London?
D. E. Shaw runs the same 3 stage quant loop in London as elsewhere: screen, technical rounds, on-site. Local demand is concentrated in quant research/trading, systematic funds, electronic trading. Pay is benchmarked in GBP at about 86% of the New York figure for the same role and seniority, and the final round is usually held in the London office.
The loop as candidates report it (compiled, not official)
Each round answers the question candidates in London ask, then points at the round that follows it.
- Stage 1Screen
What happens in the screen at D. E. Shaw?
Highly selective CV filter, then a technical call. It is stage 1 of 3 in the D. E. Shaw loop, and candidates who clear it move to the technical rounds.
Next step: Technical rounds - Stage 2Technical rounds
What happens in the technical rounds at D. E. Shaw?
Mathematics, probability and algorithmic reasoning at depth. It is stage 2 of 3 in the D. E. Shaw loop, and candidates who clear it move to the on-site.
Next step: On-site - Stage 3On-site
What happens in the on-site at D. E. Shaw?
Extended panel with researchers and engineers. It is stage 3 of 3 in the D. E. Shaw loop and it is the final decision point.
Next step: rehearse the practice set
What a passed loop pays in London
Benchmarks in GBP for the roles D. E. Shaw hires here, across every seniority we publish.
Practice questions for the London loop
Matched to the topics D. E. Shaw draws on for the roles it hires here: probability, statistics, machine learning, brainteaser, algorithms, c++ and systems, market making. Written originally for this platform.
Market makingHardTrading round
You are quoting a market and get lifted five times in a row on the offer, in full size, by the same counterparty. Nothing else in the market has moved. What do you do?
StatisticsHardResearch round
Your alpha shows a strong in-sample relationship with next-day returns, but the effect halves out of sample. Give three explanations that are not overfitting.
AlgorithmsHardEngineering round
You receive a stream of order-book updates and must report the maximum trade price in the last N events at every step. How?
C++ and systemsHardEngineering round
Your median tick-to-trade latency is fine but the 99.9th percentile is ten times worse. Name the likely causes.
Machine learningHardResearch round
A gradient-boosted model predicts next-hour returns with an out-of-sample R² of 0.004. Is that useful?
BrainteaserHardFirst round
One hundred prisoners each open 50 of 100 boxes searching for their own number; all must succeed or all fail. What strategy beats a vanishingly small success rate?
ProbabilityStandardFirst round
Two people independently pick a real number uniformly from [0, 1]. What is the probability the two numbers differ by more than 0.25?
ProbabilityStandardFirst round
A random walk starts at 0 and moves +1 or −1 with equal probability each step. What is the probability it reaches +3 before it reaches −5?
Market makingStandardTrading round
I roll two fair six-sided dice and pay you the product. Make me a market, two wide.
Market makingStandardTrading round
Make a market on the number of petrol stations in the United Kingdom.
StatisticsStandardResearch round
You backtest 200 signals and the best one has a Sharpe ratio of 2.4. Should you trade it?
StatisticsStandardFirst round
Two return series each have a correlation of 0.6 with a third. What is the tightest bound you can put on their correlation with each other?
AlgorithmsStandardEngineering round
Design a data structure that supports insert, delete and get-random-element, all in expected O(1).
AlgorithmsStandardEngineering round
How would you implement a limit order book supporting add, cancel and match, and what is the complexity of each?
C++ and systemsStandardEngineering round
Why might std::unordered_map be a poor choice on a latency-critical hot path?
C++ and systemsStandardEngineering round
Explain false sharing and how you would detect it in a multi-threaded market data handler.
Machine learningStandardResearch round
Why is k-fold cross-validation usually wrong for financial time series, and what do you use instead?
BrainteaserStandardFirst round
You have 25 horses and a track that races five at a time, with no timer. What is the minimum number of races to find the fastest three?
ProbabilityWarm-upPhone screen
You flip a fair coin three times. Given that at least one flip came up heads, what is the probability all three were heads?
Questions candidates in London ask
How many interview stages does D. E. Shaw in London run?
3 published stages: screen, technical rounds, on-site. The sequence is the same for the London desk as elsewhere, with the final round usually held locally.
What topics does the D. E. Shaw quant interview test?
Mainly probability, statistics, machine learning, brainteaser. D. E. Shaw hires for 3 quant families, so the technical rounds are weighted to the role rather than to finance knowledge.
How hard is the D. E. Shaw quant interview?
Hard by market standards. Our practice set for this loop runs to 20 questions, sorted with the hardest first, and the backgrounds that clear the bar are typically phd research and olympiad backgrounds.
What does a quant role at D. E. Shaw pay in London?
Quant Researcher total compensation in London benchmarks at £154k – £1.7m, with a median of £319k in GBP. D. E. Shaw sits around 120% of the market benchmark for the same role and seniority.
Does D. E. Shaw hire quants in London?
Yes. London is one of 4 markets where D. E. Shaw runs a desk, and it ranks 2 globally in our hiring index with demand concentrated in quant research/trading, systematic funds, electronic trading.
Are these real D. E. Shaw interview questions?
No. Stage detail is compiled from public sources and candidate reports and labelled as such. Every question is written originally for this platform to rehearse the same reasoning, so nothing here republishes a firm's own question bank.
Who else hires quants in London
Prepare once, interview across the local market.
Stage detail is compiled from public sources and candidate reports and is labelled as such. Questions are written originally for this platform. Pay figures are benchmarks by role, seniority and market, not an offer from D. E. Shaw.
Introductions
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Methodology
Figures are expressed as annual total compensation (base salary plus expected performance bonus) in the reference market's local currency, converted from a US dollar base. They describe typical market ranges rather than any individual offer, and exclude sign-on payments, deferred equity and carried interest. Portfolio-manager figures reflect formulaic profit-share arrangements and are therefore far more dispersed than any other role.
KnowQuantIndex 2026.1 · Updated September 2026
Modelled bands describe the market, not an individual offer. Where an employer states pay, the stated figure is used and labelled as such.
London intelligence
Interview in London knowing what the market pays
The loop, the reasoning it tests, and the local benchmark once you clear it.