System designLast seen Oct 2026
Design a Ticket Booking System
Design the catalog, availability, pricing, reservation, and payment path for a high-demand movie and event ticketing platform.
Open practiceOptiver interview practice
Optiver Software Engineer Interview and Coding Practice Start with verified evidence.
Practice from 23 Optiver-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 6 system-design exercises, 1 low-level-design exercise.
- Catalog
- 30 public practice assets (23 coding)
- Start here
- Use the stage named in your invitation
- Evidence
- OA · Phone metadata, shown in context
OA practice path
Online Assessment
Build a timed implementation rhythm from prompt to edge cases. Problems are ranked by repeated public catalog sightings.
20 Optiver-tagged Online Assessment problems available.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
OPOptiver | Power Cell BankHash TableSorting | Hard | 13 public reportsLast reported Oct 2026 | Practice |
OPOptiver | Overheat Prevention ControllerSimulationDesign | Hard | 6 public reportsLast reported Oct 2026 | Practice |
OPOptiver | Multi-Level Inventory Storage SystemDesignHeap | Hard | 5 public reportsLast reported Aug 2026 | Practice |
OPOptiver | Construct Binary Tree S-ExpressionTreeParsing | Medium | 4 public reportsLast reported Jul 2026 | Practice |
OPOptiver | Days BetweenMathSimulation | Easy | 3 public reportsLast reported Jul 2026 | Practice |
OPOptiver | Count Straight-Line Word Occurrences in a GridMatrixString | Medium | 2 public reportsLast reported Sep 2026 | Practice |
OPOptiver | Fastest Average Speed over a Rolling KilometerTwo PointersSliding Window | Hard | 2 public reportsLast reported Sep 2026 | Practice |
OPOptiver | Customer Checkout DurationDesignQueue | Medium | 2 public reportsLast reported Jul 2024 | Practice |
OPOptiver | Get Biggest LionsDesignHeap | Medium | 2 public reportsLast reported Mar 2024 | Practice |
OPOptiver | Count Bounded Share TransactionsDynamic ProgrammingCombinatorics | Medium | 1 public reportLast reported Aug 2026 | Practice |
OPOptiver | Count Ordered Size SequencesDynamic ProgrammingCombinatorics | Medium | 1 public reportLast reported Aug 2026 | Practice |
OPOptiver | Profitable Currency Exchange CycleDynamic ProgrammingGraph | Hard | 1 public reportLast reported Aug 2026 | Practice |
OPOptiver | Proportional Momentum Investment StatisticsArrayMath | Medium | 1 public reportLast reported Aug 2026 | Practice |
OPOptiver | Satellite Network Message PropagationGraphHeap | Hard | 1 public reportLast reported Mar 2025 | Practice |
OPOptiver | Print ScheduleGraphTopological Sort | Hard | 1 public reportLast reported Mar 2024 | Practice |
OPOptiver | Numbers Station Message DecoderHash TableString | Hard | 1 public reportLast reported Sep 2023 | Practice |
OPOptiver | Truck Position SubscriberDesignHash Table | Medium | 1 public reportLast reported Jul 2023 | Practice |
OPOptiver | Worst Trade ReporterHash TableHeap | Medium | 1 public reportLast reported Jul 2023 | Practice |
OPOptiver | Dynamic Future PricingSegment TreePrefix Sum | Medium | 1 public reportLast reported Oct 2022 | Practice |
OPOptiver | Traveling the GraphsGraphShortest Path | Hard | 1 public reportLast reported Feb 2022 | Practice |
Phone practice path
Phone Screen
Practice solving while explaining assumptions, tradeoffs, and complexity. Problems are ranked by repeated public catalog sightings.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
OPOptiver | Multi-Level Inventory Storage SystemDesignHeap | Hard | 5 public reportsLast reported Aug 2026 | Practice |
OPOptiver | Client Stock Position OperationsHash TableSimulation | Medium | 1 public reportLast reported Aug 2026 | Practice |
OPOptiver | Implement a FIFO QueueQueueArray | Medium | 1 public reportLast reported Nov 2025 | Practice |
OPOptiver | Implement TrieStringTrie | Medium | 1 public reportLast reported Aug 2025 | Practice |
01 · Preparation plan
Prepare for engineering behavior, not a guessed test format.
This page focuses on Optiver software-engineering practice. Its tree parser, position operations, and storage model form a concrete implementation path. Hiring activity remains on the separate insights hub, and this page deliberately avoids presenting mental-math tests or a particular online-assessment format as verified coverage. This is a suggested practice sequence, not the employer's interview process. Your invitation and recruiter guidance remain the source of truth.
- 01
Validate before serializing a tree
Use S-expression construction to separate malformed input detection from output formatting. A graph that looks tree-like can still contain multiple parents or a cycle.
- List all invalid structures required by the prompt.
- Identify the root only after validating edges.
- Produce a deterministic child order.
- 02
Apply position changes consistently
The client-position exercise is a state-update practice task. Derive command behavior from the prompt rather than assumptions about a real trading system.
- Choose keys for client and instrument state.
- Trace repeated updates and missing records.
- Check aggregate values after each command.
- 03
Separate storage policy from representation
The multi-level inventory exercise is useful for discussing movement, capacity, and lookup rules. A clear state model makes later optimizations easier to validate.
- Define which level owns each item.
- Test capacity boundaries and replacement rules.
- Compare results with a simple reference model.
02 · Broader technical practice
Practice beyond standalone coding questions.
These public Optiver-tagged exercises cover additional technical formats. They are included only when a verified catalog record and a crawlable practice page both exist.
System designLast seen Sep 2026
Global One-to-One Voice Calling
Design a globally available service for reliable one-to-one internet voice calls.
Open practiceLow-level designLast seen Sep 2026
Design and Implement an In-Memory Order Book
Model resting orders, support cancellation, and return the exact aggregate volume at a requested price level.
Open practiceSystem designLast seen Aug 2026
Design a Cross-Exchange Stock Price Service
Serve fresh, normalized stock prices from multiple exchanges with explicit source freshness.
Open practiceSystem designLast seen Jul 2026
Design a News Subscription Processing Engine
Design a durable engine that manages topic subscriptions and turns each published news item into the correct set of downstream deliveries.
Open practiceSystem designLast seen Oct 2025
Design a Low-Latency Electronic Trading System
Ingest market data, validate strategy order intents, route orders to exchanges, and reconcile executions with predictable low latency.
Open practiceSystem designLast seen May 2020
Design a Cross-Site Stock Trading Application
Deliver fresh market state and correct order outcomes across a bandwidth-constrained inter-site link.
Open practice03 · Evidence boundary
What “Optiver interview questions” means here.
It means practicing transferable implementation, testing, and technical reasoning with public catalog assets FastPrep tags to Optiver. It does not mean FastPrep has access to the company's assessments or any private interview bank.
Repeated public sightings and last-reported dates can help you prioritize practice, but they cannot predict the questions, format, or platform in a specific interview.
- Only Optiver-tagged FastPrep catalog problems appear above.
- Stage labels and report dates remain visible as context.
- No official, private, leaked, or proprietary questions are claimed.
04 · Plain answers
Optiver interview practice questions, answered plainly.
This page owns technical-practice intent for Optiver. Hiring activity, timelines, and market signals remain on the separate hiring-insights page.
01Does this include Optiver's mental-math or trader assessment?
No. The evidence supports coding practice, not a dedicated mental-math or trader-test simulation. Use these assets for parsing, state, and algorithm reasoning. Consult your invitation for any separate numerical assessment and the hiring-insights hub for aggregate application activity.
02Is FastPrep affiliated with Optiver?
No. FastPrep is an independent interview-preparation product and is not affiliated with Optiver. The page uses FastPrep's public practice catalog and does not claim official, private, leaked, or proprietary employer questions.
03How are Optiver problems assigned to interview stages?
Stage labels come from FastPrep's public problem metadata. A problem can carry more than one reported stage, and hiring processes can change by role, level, location, and date. Treat the labels as preparation context, not a guarantee.
04Which Optiver interview stage should I practice first?
Start with the stage named in your invitation or recruiter message. If no stage is known, use the largest available set to build general problem-solving fluency, then rehearse explanation and testing separately.
05Does this page predict the Optiver interview process?
No. Public catalog counts, stage tags, and last-reported dates can help prioritize practice, but they cannot predict a specific interview's questions, sequence, timing, or platform.
Your next stage, made concrete
Pick a problem. Solve it end to end.
Start with the stage named in your invitation, then use public evidence as context—not as a promise of what you will be asked.
Open the practice set