Quant interview prep guides

Low Latency Systems Interview Guide

Low latency systems interview guide for hot paths, measurement, networking, memory, throughput, tradeoffs, and quant developer examples.

Candidates preparing for low-latency trading systems and performance discussions.

Define latency before optimizing

Latency can mean feed-to-decision, decision-to-order, round trip, tail latency, or user-visible delay. State the measured path before proposing improvements.

Hot paths deserve simplicity

Low-latency code often reduces allocations, locks, unnecessary serialization, and work on the critical path. The right answer depends on measured bottlenecks.

Concrete example

If market data parsing dominates the path, optimizing strategy math may not help. A latency profile should identify where time is actually spent.

Tradeoffs still matter

Lower latency can increase complexity, reduce debuggability, or weaken safety if done carelessly. Discuss correctness and observability alongside speed.

Common mistakes

Candidates often suggest generic tricks before measuring. Strong answers define the path, collect percentiles, find bottlenecks, and preserve correctness.

Practice the pattern

Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.