Jane Street Interview Questions (May 2026)

17 questions · 8 experiences · InterviewDB (21) · 1p3a (4)

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Jane Street ML Performance Engineer Interview Experience

1p3a SWE
Sep 2025 Question

Arbitrage System: Detect Arbitrage Opportunities in a Currency Exchange Graph

InterviewDB USA
Question

Jane Street SWE Phone - Arithmetic Evaluator

InterviewDB
Question

Code Folding: Implement Code Block Detection and Folding for a Text Editor

InterviewDB Los Angeles
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Gamepad Input Tracker: Parse and Replay Gamepad Input Sequences with Timing

InterviewDB Los Angeles
Question

Infinite Board Game: Design a Sparse Infinite Grid Game World with Entity Tracking

InterviewDB Los Angeles
Question

Merge Diff: Implement a Three-Way Merge Algorithm for Text Files

InterviewDB
Question

Jane Street SWE Phone - MultiCache

InterviewDB
Question

Real-time Order Book Stream Comparison: Detect Discrepancies Between Two Feed Sources

InterviewDB Paris
Question

Jane Street SWE Onsite - Ring Buffer

InterviewDB
Question

Jane Street SWE Phone - Snake Game

InterviewDB
Question

Jane Street SWE Phone - Stack-Based Interpreter

InterviewDB
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String Diff: Compute and Display Line-Level Diffs Between Two Text Files

InterviewDB
Question

String Matching Game: Implement a Wordle-Style String Guessing Game Engine

InterviewDB
Question

Supermarket Queue: Simulate and Optimize a Multi-Checkout Queue System

InterviewDB
Question

Jane Street SWE Phone - Text Editor Backend

InterviewDB Backend
Question

Tree Backend: Design a REST API for Managing a Hierarchical Tree Structure

InterviewDB Backend
Question

Jane Street Quantitative Research Intern Technical Phone Screen

1p3a SWE
Oct 2025 Experience

Jane Street MLE Internship Technical Phone Screen Experience

1p3a SWE
Oct 2025 Experience

Jane Street SRE Technical Phone Screen Featuring Rate Limiting Algorithm

1p3a SWE
Sep 2025 Experience

Arithmetic Encoding: Implement Arithmetic Coding for Lossless Data Compression

InterviewDB
Experience

Client Side Validation: Build a Form Validation Library with Composable Rules

InterviewDB Los Angeles
Experience

Exchange System: Design a Multi-Asset Exchange with Order Routing

InterviewDB
Experience

Live Stream: Design a Real-Time Live Streaming Platform with Chat and Viewer Counts

InterviewDB
Experience

Streaming Compression: Implement Run-Length Encoding on a Byte Stream

InterviewDB
Experience

Jane Street Interview Process Overview

The Jane Street interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Jane Street runs a calibrated process consistent with industry norms for companies of its tier.

Difficulty calibration: Jane Street coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.

How To Use Jane Street Question Reports

Real candidate-reported interview questions are a calibration tool, not a memorization target. Jane Street updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Jane Street reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.

Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Jane Street's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.

Common Jane Street Interview Mistakes

Reports tagged "no hire" at Jane Street consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.

The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.