Representative quant-interview questions tagged to Two Sigma, concentrated in probability, linear algebra, and other. Preview a free set below, then drill the full bank with hints and worked solutions.
226 Two Sigma questions · 12 free to preview · 2,516 problems total
Three assets A, B, C have correlations ρAB=0.9 and ρBC=0.8. Can ρAC=0.1?
Solution
A correlation matrix must be positive semidefinite (PSD). For three assets with pairwise correlations ρAB=0.9, ρBC=0.8, and a candidate ρAC=0.1, we check whether the 3×3 correlation matrix
R=10.90.10.910.80.10.81
is PSD. A necessary and sufficient condition for a 3×3 symmetric matrix with unit diagonal is that all principal minors are nonnegative. The 1×1 and 2×2 minors are clearly nonnegative, so the key condition is det(R)≥0.
Sandy has 5 pairs of socks in a drawer, each pair a distinct color. On Monday, she randomly picks two socks from the 10 total; on Tuesday, she picks two from the remaining 8; on Wednesday, she picks two from the remaining 6. What is the probability that Wednesday is the first day she selects a matching pair?
Solution
Let M, T, W be the events that Monday, Tuesday, Wednesday produce a matching pair, respectively. We want
P(Mc∩Tc∩W)=P(Mc)P(Tc∣Mc)P(W∣Mc∩Tc).
1. P(Mc). Total ways to choose 2 socks from 10: (210)=45. Matching pairs: 5 (one per color). So P(M)=5/45=1/9, hence
P(Mc)=1−91=98.
2. P(Tc∣Mc). After a non‑matching Monday, two socks of different colors are removed. The remaining 8 socks consist of 3 colors with 2 socks each and 2 colors with 1 sock each. Total pairs from 8: (28)=28. Only the three colors with 2 socks can produce a matching pair, so 3 matching pairs. Thus P(T∣Mc)=3/28 and
P(Tc∣Mc)=1−283=2825.
3. P(W∣Mc∩Tc). After Monday and Tuesday are both non‑matching, the composition of the remaining 6 socks depends on how Tuesday's non‑matching pair was formed. Starting from the Monday state (3 colors with 2 socks, 2 colors with 1 sock), Tuesday's non‑matching pair can be of three types:
Case A: Both socks from the 2-sock colors. Number of ways: (23)⋅2⋅2=12. Resulting state: 1 color with 2 socks, 4 colors with 1 sock. Probability of a match on Wednesday: (26)1=151.
Case B: One sock from a 2-sock color and one from a 1-sock color. Number of ways: 3⋅2⋅2⋅1=12. Resulting state: 2 colors with 2 socks, 2 colors with 1 sock, 1 color with 0 socks. Probability of a match on Wednesday: 152.
Case C: Both socks from the two 1-sock colors. Number of ways: 1. Resulting state: 3 colors with 2 socks, 2 colors with 0 socks. Probability of a match on Wednesday: 153=51.
Total non‑matching pairs on Tuesday: 12+12+1=25, so the conditional probabilities of the cases given Tc are 2512,2512,251. Hence
Two players share a fair coin and flip it repeatedly, recording the sequence of heads (H) and tails (T) that appears. The first player wins if HTH occurs before HHT; otherwise, the second player wins. What is the probability that the first player wins?
Solution
Idea
Track the game state as the longest suffix of the flip sequence that is a prefix of either target pattern. This yields a small Markov chain whose first-step equations determine the win probability exactly.
States and Transitions
Target patterns: Player 1 wins on HTH; Player 2 wins on HHT.
The transient states are {ε,H,HH,HT}, where ε denotes no useful suffix (start, or after a progress-resetting tail).
State
Flip H
Flip T
ε
H
ε
H
HH
HT
HH
HH
P2 wins
HT
P1 wins
ε
Remark on HHHHH: after any run of heads, the longest suffix that prefixes a target is still HH (the length-2 prefix of HHT).
System of Equations
Let ps denote the probability that Player 1 wins from state s.
Equation (3) reflects that HH is a trap: every additional H keeps the game in HH, and the inevitable first T completes HHT, so Player 1 cannot win from HH.
Solution
Substituting (3) into (2):
pH=21pHT.
Combined with (1), we have pε=pH=21pHT. Substituting into (4):
ProbabilityEasyTwo SigmaHudson River TradingFive Rings
Ten chords on a circle have endpoints positioned uniformly and independently along the circumference. Calculate the expected number of crossing points.
Approach
Decompose the total number of crossings into a sum over unordered pairs of chords.
14 slips numbered 1−14 are placed in a random order. A position i is called a local maximum if the slip there is strictly greater than each of its immediate neighbors. Find the expected number of local maxima. For example, with 6 numbers the arrangement 513246 has local maxima at positions 1, 3, and 6, giving 3 local maxima.
Approach
Write the total number of local maxima as a sum of indicator random variables, one for each position.
Michael rides a remote-control skateboard around campus. The front of the Hopkins sign is the origin (0,0); rightward is positive x and into campus (upward) is positive y. Every second he picks an angle uniformly from [0,2π) and moves 1 foot in that direction from his current position. After 16 seconds, what is the expected squared distance from the Hopkins sign?
Approach
Write the squared distance as the squared norm of a sum of random unit vectors and expand the square.
There are N employees, each driving a separate car to QuantEssential. The cars are initially well-spaced and travel at distinct speeds assigned uniformly at random. Whenever a faster car catches up to a slower one, it adopts the slower car's speed. After a long time, the cars form K clusters, each moving at a distinct speed. Find the expected value of K when N=10.
Approach
Consider the speeds of the cars in order from front to back and think about which cars become cluster leaders.
Marbles are drawn without replacement from a bag containing 50 red and 50 blue marbles until the bag is empty, and the sequence of colors is recorded. A run is a maximal block of consecutive marbles of the same color; for instance, RBBRRRBRR has 5 runs. Find the expected number of runs in the full sequence.
Approach
Express the number of runs as 1 plus the number of times consecutive draws differ.
In a single-elimination tournament with 2n strictly ranked teams (higher always beats lower), the bracket is drawn uniformly at random. Find the probability that the top-ranked and second-ranked teams play each other in the final.
Verification. For a tournament with n = 2 (i.e., 4 teams total), what is the probability that the top two teams meet in the final?
Approach
Since the top-ranked team beats everyone, it always reaches the final. What must be true about the bracket placement of the second-ranked team for it to also reach the final?
There are n identical urns, each containing white and black balls. The ith urn (1≤i≤n) holds 1 white ball and 2i−1 black balls. An urn is chosen uniformly at random, and a ball is drawn from it; the ball is white. After replacing that ball, a second ball is drawn from the same urn. Let p(n) denote the probability that the second ball is also white. Compute n→∞limp(n).
Approach
Express the desired conditional probability using the law of total probability over the choice of urn.
Consider a linear regression on a dataset yielding coefficients β^OLS. With data matrix X and IID normal errors of variance σ2, we have Var(β^OLS)=σ2(XTX)−1. If the regression is rerun on a dataset where every point's values are doubled, producing coefficients β^OLS′, find the constant c such that Var(β^OLS′)=cVar(β^OLS). If no such constant exists, output −1.
Approach
Consider how the data matrix $X$ and the response vector $y$ change when every point's values are doubled.
Let xn=[1,2,…,n]T∈Rn and define An=xnxnT. For any fixed n, An has exactly one non-zero eigenvalue, denoted λn. Determine the constant k such that λn/nk converges to a finite, non-zero limit.
Approach
Recognize that $A_n$ is a rank‑1 matrix, so its only non‑zero eigenvalue equals its trace.
How many Two Sigma interview questions are on QuantGrind?
226 questions are tagged to Two Sigma across our 2,516-problem set, concentrated in probability, linear algebra, and other. 12 are free to preview on this page; the full set unlocks with a membership, each with hints, the accepted answer, and a worked solution.
How hard is the Two Sigma quant interview?
Expect a phone screen heavy on mental math and probability, then an onsite or final round mixing brainteasers, market-making games, and topic depth. The bar is less about exotic tricks and more about speed, accuracy, and explaining your thinking clearly under time pressure.
How should I prepare for the Two Sigma quant interview?
Practice timed, out loud, and without a calculator. Rebuild each answer from first principles rather than recognizing it, and review the ones you got slowly — interview signal comes from how fast and cleanly you reason, not whether you've seen the exact prompt before.
Practice the full Two Sigma set
Every question comes with progressive hints, the accepted answer, and a full worked solution. 100 free to start — no card required.