Robinhood 是近年来非常热门的 FinTech 公司，技术岗位竞争激烈、要求高。最近我们 Programhelp 团队有学员刚刚完成 Robinhood 的技术面，整个过程非常注重 candidate 的基础功底和项目实战思维，今天就来详细还原一下 最新的 VO 面试题目 + 经验总结，给正在准备 Robinhood 的同学一点实战参考！
Robinhood 面试 流程全览（SWE 岗位）
Robinhood 的软件工程师岗位整体流程比较标准，但对候选人的技术深度和业务理解能力要求偏高。整个流程通常包含以下几个阶段：
HR 初筛
这轮主要是聊天性质的沟通，HR 会了解你的教育背景、项目经历以及对 Robinhood 的兴趣点。同时也会介绍岗位职责、招聘团队类型和整体流程安排。建议提前准备好「为什么你对 Fintech 感兴趣」、「为什么选择 Robinhood」这类动机问题，留下积极印象。
Robinhood VO Coding
这轮是典型的 live coding，使用 CoderPad 或 HackerRank 环境完成编程题，难度通常为 LeetCode medium ~ hard。题目以字符串、哈希、堆、并查集、图、滑动窗口等为常见考点，要求候选人在 45~60 分钟内写出 bug-free 的解法，并与面试官解释思路，展示思维过程。
Robinhood VO 系统设计 / 项目深挖
这一轮会根据候选人的经验进行定制，偏 senior 的候选人一般是系统设计（System Design），junior 或实习岗位则偏向项目技术细节的深挖。重点考察你对架构设计的理解、数据流/存储方案的合理性，以及在实际项目中承担的角色和影响力。面试官非常喜欢“从场景出发”的提问方式，比如“如果你要支持 10 倍用户量怎么办？”、“这个功能可以并发吗？”等。
Onsite
如果是正式岗位，有些团队还会安排 onsite 面试，包含 2~4 轮不同维度的考察，包括第二轮更深入的 Coding、System Design、Behavioral（行为面试）以及 Cross-functional round。每一轮对 communication clarity、trade-off 思考都有要求。Robinhood 重视 cross-team 协作，因此行为面试中常会考察合作冲突、ownership 和影响力。
⚠️ 小 Tips： Robinhood 面试流程中穿插的技术题难度不算特别变态，但非常注重候选人对于工程实践的理解、业务背景的联动能力，以及表达清晰度。如果你之前只刷题但项目答不清，建议优先补齐项目的故事线和结构表达。
Coding 真题复盘（2025 最新版本）
第一部分
Quiz
Part I Probability [8 points in total]
Suppose 30% of Robinhood customers own CAT stock. Also, suppose 15% of Robinhood customers own both CAT and DOG stock. Determine the possible range for the percentage of Robinhood customers that own DOG stock.
- What is the smallest possible percentage?
- 10%
- 15%
- 25%
- 50%
2. What is the largest possible percentage?
- 50%
- 75%
- 85%
- 100%
第二部分
Quiz
Amir operates a large lobster boat. The operating cost for the boat is $2,250 each day. At the end of each day, he sells all his freshly caught lobster to either the local restaurant or the local grocery store with the following conditions:
- The price per pound that the restaurant is willing to pay follows a triangular distribution with minimum value $1.50, maximum value $5.50, and likeliest value $3.50.
- The price per pound that the grocery store is willing to pay is decreasing with more lobsters: $3.85 – $0.0005 * y, where y is the total lobster amount sold in pounds.
- The amount of lobster that Amir catches in a single day follows a normal distribution with mean 1,500 pounds and standard deviation √12,500 pounds.
Amir decides to sell a fixed percentage of lobster to the local restaurant and the rest to local grocery stores. Using either math or simulation, can you help Amir determine what percentage he should choose in order to maximize his expected profit in the long run?
- 57%
- 84%
- 77%
- 34%
Free-Text
Part 2. Please provide detailed explanations to show that your answer in Part 1 is the optimal percentage among all possible integer percentages. State any assumption you make when solving the problem. (If using simulation, please upload a PDF version of your code).
第三部分
In order to improve user retention and lower churn, the growth team at Robinhood is interested in understanding why and which users withdraw money from their Robinhood account. A user is considered churned when their equity value (amount of money in Robinhood account) falls below $10 for a period of 28 consecutive calendar days or longer.
Using the datasets given below answer the next few questions.
Please provide the code and any explanation of your assumptions and methodology in a notebook. We will ask you to provide the code and any explanation of your assumptions and methodology in a notebook in the last part. We give points not only to the output but also the processes.
Datasets:
features_data.csv – contains user level data such as:
- user_id – unique id for every user
- risk_tolerance – self‐reported risk tolerance of the user
- investment_experience – self‐reported investment experience of the user
- liquidity_needs – self‐reported liquidity needs of the user
- time_horizon – self‐reported investment time horizon of the user
- platform – which platform (iOS or Android) the user is on
- time_spent – amount of time spent on the app
- first_deposit_amount – $ value of the amount first deposited
- instrument_type_first_traded – type of instrument first traded
equity_value_data.csv – contains user_id and equity_value for user along with timestamps for days when the user’s equity value is greater than or equal to $10.
Quiz
Part II [5 points]
Build a classifier that given a user with their features assigns a churn probability for every user and predicts which users will churn. Please show your work in your notebook, and state any metrics you deem important. Based on the classifier output classify each user in the dataset as churned or not churned. Then answer the following questions. We will ask you upload your notebook later.
How well does your classifier perform? What’s the AUC score of your test set? [1 point]
- 0.5~0.8
- 0.8~0.9
- 0.9
- <0.5
真实学员上岸经验分享｜面试当天全程助攻！
之前有位同学找我们求助 Robinhood 的 SDE 技术面试，背景是 南加州某 UC 系列学校的硕士，刷题基础不错，但对系统设计和面试表达不太自信。我们在了解了他即将面试的时间后，立刻为他安排了紧急辅导+面试当天的全程协助。
这位同学面试当天遇到了一道不常见的“合并区间 + 优先队列”变种题，一开始有点卡壳。我们在后台实时听题 + 语音提示思路，帮他快速理清解法结构，同时在代码编写过程中通过关键词语音辅助提醒代码细节（如边界条件、复杂度优化点），让面试官看到的是条理清晰、思路完整的实现过程。
第二题是和项目相关的系统设计追问，题目是“如何设计一个支持股票交易订单簿的系统”。我们在他回答过程中及时补充关键词句式，比如“异步消息队列”、“限价单 vs 市价单的处理策略”、“如何支持并发冲突控制”等，帮他撑起完整的技术架构框架，让他从原本的“记忆式回答”进化成了“结构化表达”。
最终这场 VO 面试顺利通过，他也第一时间来反馈：
“面试过程中感觉不是一个人在战斗，特别是系统设计部分，有你们帮我补充逻辑真的太关键了。”
Programhelp 助你搞定 Robinhood VO｜技术辅助服务
如果你最近也在准备 Robinhood 的 VO 面试，但还在担心 coding 时脑袋一片空白、系统设计说不出结构、BQ 回答缺乏亮点，不知道该从哪里突破 —— 别慌，我们 Programhelp 团队可以从模拟训练到面试当天实时助攻，全流程为你保驾护航。
我们支持多种方式的面试陪练和协助，包括：
VO 技术面实时语音辅助：coding 遇到卡点？我们在你答题时远程同步听题、即时提示思路关键词，帮你捋清题目逻辑、优化代码细节，不让你一个人慌在屏幕前。
系统设计答题框架梳理：没练过架构题也不用怕，我们会提前教你怎么从场景、数据流、组件职责、技术选型等维度构建完整设计，同时在面试当天给予关键词提示，帮你顶住全程节奏。
行为面试逻辑强化：我们会根据 Robinhood 的文化风格和过往题型，帮你整理出好讲又可信的项目故事，用结构化答题法提升你每句话的打动力。
尤其是面试当天的临场协助，我们不仅提供后台实时听题 + 思路提醒，还会模拟面试官视角提前演练，让你在正式开麦之前就拥有一次“预演”机会。
如果你也想更稳地通过 Robinhood 的技术面试，欢迎随时私信我们，获取专属模拟训练 + 面试实时辅助服务，和我们一起把 Fintech 大厂 offer 拿下！
