150 Most Frequently Asked Questions On Quant Interviews -
There are 100 toggled-off lightbulbs and 100 people. Person 1 toggles every bulb. Person 2 toggles every second bulb. Person toggles every -th bulb. Which bulbs remain on at the end?
How can unsupervised learning algorithms like Hidden Markov Models (HMM) or K-Means be used to identify market regimes?
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What causes a spurious regression, and how does differencing a unit-root process fix this phenomenon? 150 Most Frequently Asked Questions On Quant Interviews
4. Statistics, Econometrics, & Machine Learning (30 Questions)
, mastering these 150 patterns will shift your focus from "how do I solve this?" to "how do I optimize this?" [2, 5]. Derivatives Pricing , to see some sample questions?
A matrix is positive semi-definite if and only if all of its eigenvalues are greater than or equal to zero ( ). Because one of the given eigenvalues is negative ( -0.2negative 0.2 There are 100 toggled-off lightbulbs and 100 people
: If you struggle with a calculus question, pause and review foundational books like Steven Shreve's Stochastic Calculus for Finance .
independent observations from a uniform distribution, what is the probability distribution of the minimum value?
"So why you? Why not a pure math major?" Person toggles every -th bulb
Programming & data structures (18)
Three ants sit at the corners of an equilateral triangle. Each chooses a random direction to walk along the edges. What is the probability they don't collide?
To help candidates prepare for quantitative interviews at hedge funds, prop trading firms, and investment banks (e.g., Jane Street, Citadel, Two Sigma, Optiver, Goldman Sachs).
Probability forms the backbone of quantitative trading risk models. Interviewers test your ability to handle randomness, conditional spaces, and distributions.
How to design a real-time risk system?