Optiver Interview Questions

Optiver Interview Questions

Optiver's 90 questions come almost entirely from two stages: the technical screen supplies 44 and the online assessment 37, with a few onsite and HR screen reports behind them. Software Engineer covers 59 of them and Data Scientist 26. Coding & Algorithms is the largest category at 39, ahead of Statistics & Math at 21, then a smaller band of Software Engineering Fundamentals, Machine Learning, System Design and behavioral prompts. Difficulty skews medium, 52 against 26 hard and 7 easy, and the hard tail sits mostly in the probability material. Discrete probability recurs: the chance two dice sum to seven, the chance the three smallest dice sum to three, the colour left after part of a deck is discarded, and the expected value of a bankroll game played with an unfair coin. The algorithm problems carry a trading accent: counting bounded buy-and-sell sequences, detecting currency arbitrage once a fee is charged per cycle, counting ordered sequences that hit a target sum. The Software Engineering Fundamentals entries are object-design exercises, not puzzles: a tiered expiring item store, a news subscription processing engine, an event-driven overheat controller. The set is current, with 6 added in the last 90 days, no AI-assisted rounds in these reports, and 14 first-hand Optiver interview experiences covering quant trader, quantitative researcher and software engineering loops.

90 Questions 1 Company09.26.2026
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Frequently Asked Questions

Which rounds do these Optiver interview questions come from?
Two stages account for nearly all of them. The technical screen supplies 44 questions and the online assessment 37, with only a few onsite and HR screen reports behind those. Online assessment entries lean toward implementation work such as expiring item stores and date arithmetic, while the technical screen carries most of the probability puzzles and the trading-flavoured algorithm problems.
How hard are Optiver interview questions?
Medium dominates, with 52 questions tagged medium against 26 hard and 7 easy. The hard tail sits mostly in Statistics & Math and in the trading-flavoured algorithm problems, where an exact probability or a counting argument is expected rather than a brute-force scan. The object-design problems are largely medium; the two hardest in that group are a news subscription processing engine and an event-driven controller.
Which roles and topics dominate the Optiver question set?
Software Engineer accounts for 59 questions and Data Scientist for 26. By topic, Coding & Algorithms leads with 39 and Statistics & Math follows with 21; Software Engineering Fundamentals, Machine Learning, System Design and Behavioral & Leadership make up the remainder. Most questions are not seniority-specific, though 7 are tagged for interns and a couple for new grads.
What kinds of problems show up most often?
Discrete probability recurs: the chance two dice sum to seven, the chance the three smallest dice sum to three, the colour left after cards are discarded, and the expected outcome of a bankroll game played with an unfair coin. On the engineering side candidates report object-design tasks such as a tiered expiring item store and an event-driven overheat controller, plus counting and currency-arbitrage detection.

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