Optiver Coding & Algorithms interview questions test more than rote algorithm recall; they probe how you think under performance constraints and how you communicate trade-offs. Expect timed online assessments and live coding sessions that resemble collaborative problem solving rather than isolated puzzles. Interviewers typically evaluate your ability to choose appropriate data structures, reason about time and space complexity, write clean, correct code in a primary language (often C++, Java, or Python), and handle edge cases and performance considerations that matter in low‑latency trading systems. For effective interview preparation, focus on fundamentals—arrays, trees, graphs, hashing, sorting, windows and two‑pointer techniques, and complexity analysis—while practicing timed problems and explaining your choices aloud. Reinforce language fluency and standard library knowledge, and revisit concurrency, memory layout, and I/O tradeoffs when relevant. During practice, simulate the live interview: ask clarifying questions, outline an approach, iterate on correctness, and discuss optimizations. This approach helps you demonstrate practical engineering judgment as well as coding proficiency.