Affirm Interview Questions
Practice 32 real Affirm interview questions for 2026. Affirm interview questions and interview preparation focused on fintech problems — coding, system design, analytics, SQL, and behavioral fit — across Software Engineer, Data Scientist, and Data Engineer roles. These are real questions drawn from actual interviews with detailed solutions designed to sharpen your problem-solving, product sense, and execution under time pressure. Expect coding-heavy rounds first (algorithms, timestamped data structures, LRU caches), then system-design and domain-specific deep dives, plus behavioral interviews that probe ownership and cross-functional impact. For Software Engineers the recurring themes are experimentation infrastructure and A/B testing platform design, ledger- and repayment-oriented problems (balances, settlements, aggregation), fraud-detection and PII extraction, plus algorithmic/data-structure puzzles like shortest-unique-substring and timestamped maps. Data Scientists get problems centered on loan/payments analysis, approval-rate diagnostics, profitability calculations, and cross-functional communication. Data Engineers are weighted toward transactional SQL and customer/transactions data modeling. Prep by practicing ledger-style problems, experiment design and metrics, real-world SQL on transaction schemas, and concise STAR stories that show measurable impact.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
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"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Determine winner in optimal-play card game
Determine winner in optimal-play card game Given a row of N cards with integer values (values may be positive, zero, or negative), two players alterna...
Compute Available Offers per User
This question evaluates event-stream processing, stateful per-user counting, and time-window filtering competencies, requiring correctness with ordere...
Aggregate loans and match repayments
This question evaluates the ability to aggregate transactional loan records and match repayment transactions to outstanding loans, testing competencie...
Implement a timestamped map
This question evaluates a candidate's ability to implement time-indexed key-value storage, covering data structure design, versioning semantics, and a...
Compute Balances and Minimize Settlements
This question evaluates transactional data aggregation and net-balance computation skills alongside combinatorial optimization for minimizing settleme...
Calculate Profit of 4-Month Loan at 30% APR
Calculate Profit of 4-Month Loan at 30% APR Credit Risk — Short-term Personal Loan Profitability Context You are evaluating the profit on a simple-int...
Implement an LRU cache
Problem Design and implement an LRU (Least Recently Used) cache that supports the following operations in average O(1) time: - get(key) -> value: Retu...
Find shortest unique substring per word
This question evaluates string-processing and algorithmic problem-solving skills, focusing on identifying substrings unique to each word while handlin...
Detect fraud events and extract PII
This question evaluates skills in parsing nested event data, extracting and deduplicating PII fields, and performing key-based correlation to detect r...
Analyze Loan Payments Using Pandas for Key Insights
loan_payments +------------+------------+-------------+-----------+---------+ | loan_id | payment_id | payment_date | amount | status | +------...
Write SQL for Transactions and Customers
You are given two tables: - customers(customer_id INT PRIMARY KEY, signup_date DATE, region VARCHAR, segment VARCHAR) - transactions(transaction_id IN...
Implement and debug event filtering in Python
You are given a list of event dictionaries with keys: id (str), type (str), ts (int, seconds since epoch), payload (dict). Implement filter_events(eve...