went through the robinhood SWE loop twice. failed once, passed the second time at L6. here's what i'd do differently if i started from scratch.
coding:
leetcode mediums are the bulk of it. i saw one hard across two loops. focus on: arrays/strings, trees/graphs, dynamic programming (less common but appeared once). the important part is communication. they are looking at your problem-solving process, not just correctness. talk through constraints before writing code. one interviewer literally stopped me and asked 'what's the time complexity of what you just wrote' before i'd finished. be ready to analyze as you go.
system design:
this is where robinhood is different from standard LC grind prep. they bias toward financial systems: think 'design a real-time trade execution system', 'design a price alert notification pipeline', 'design a system for tracking portfolio values for millions of users'. the fintech context matters. you need to think about: consistency vs availability tradeoffs in financial data (you cannot serve stale balances) event-driven architectures (kafka-style message queues come up) idempotency in payment flows
if you haven't worked in fintech, spend a week reading about how brokerages actually work. it'll change how you answer these.
behavioral:
robinhood specifically probes for: times you pushed back on a product or business decision with data failures where you owned the outcome, not blamed teammates examples of working cross-functionally (eng + product + risk/compliance is a real dynamic there)
don't prep generic STAR stories. prep stories that are specific to fintech or high-stakes technical decisions.
the thing nobody says:
robinhood as a company went through real turmoil 2021-2023. they have a lot of institutional knowledge about regulatory risk, about building for retail users at scale, about what happens when your system becomes a cultural moment. interviewers respect candidates who've thought about that context. mentioning it naturally in behavioral rounds (not in a kiss-up way) signals that you've done actual research.