Capital One interview questions

Showing 241–268 of 268 results

• Should a Restaurant Partner with Groupon?Easy

  This question evaluates a candidate's competence in unit economics, break-even and profitability modeling, and the ability to distinguish incremental versus cannibalized customers when assessing voucher-based promotional partnerships, reflecting skills in revenue modeling, cost accounting, and business analytics.

  Capital OneData AnalystAnalytics & ExperimentationTechnical Screen
• Simulate Rot Spreading Through an Orchard Grid Over a Number of DaysMedium

  A grid simulation question about an orchard of rotten trees, healthy trees and empty ground, where each day rot spreads at once from every rotten tree to the healthy trees directly beside it. It asks for the orchard after a given number of days and tests simultaneous updates, blocked cells and very large day counts.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Simulate a Bank Ledger With Validated Transfers, Deposits and WithdrawalsMedium

  A coding exercise that simulates a bank's in-memory ledger: apply an ordered sequence of transfers, deposits and withdrawals across numbered accounts and report which requests succeed. It tests careful validation of account numbers and balances, ordered state updates, and 64-bit arithmetic.

  Capital OneSoftware EngineerCoding & AlgorithmsOther
• Simulate round-robin package assignment to serversMedium

  This problem tests array indexing manipulation and logic for stateful resource allocation, specifically handling circular queues with dynamic availability constraints.

  Capital OneMachine Learning EngineerCoding & AlgorithmsOnline Assessment
• Sketch function from derivatives and limitsMedium

  This question evaluates understanding of calculus concepts—derivatives, concavity, limits, and continuity—and the ability to interpret derivative sign patterns to infer monotonicity and locate extrema.

  Capital OneData ScientistStatistics & MathTechnical Screen
• Solve Four Coding Assessment TasksMedium

  This multi-part coding question evaluates array manipulation, algorithm simulation, deterministic spatial placement, and constrained optimization competencies across tasks involving cumulative thresholds, iterative subtraction sequences, fixed-shape grid placement, and minimal-increment adjustments for monotonic patterns.

  Capital OneMachine Learning EngineerCoding & AlgorithmsOnline Assessment
• Solve OA tasks on string, grid path, subarraysEasy

  This problem tests proficiency in string manipulation, grid traversal with condition-based movement, and linear-time subarray analysis.

  Capital OneMachine Learning EngineerCoding & AlgorithmsOnline Assessment
• Solve four algorithmic coding tasksMedium

  This multi-part question evaluates algorithmic problem-solving across frequency counting (equal-value pairs), simulation and in-place grid transformation (match-three gravity), matrix diagonal pattern checking, and interval/range data-structure management, emphasizing correctness under constraints and rigorous time/space complexity reasoning.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Solve multiple algorithmic interview questionsHard

  This multi-part prompt evaluates algorithmic problem-solving and core data-structure competencies such as array manipulation, modular/date arithmetic, matrix transformations, dynamic set and interval maintenance, string concatenation frequency counting, and path-based expression evaluation on grids.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Sort Each Adjacent Pair of an Array, Leaving an Odd Last Element in PlaceMedium

  Given an integer array, put each consecutive pair of elements in ascending order while keeping every pair in its original place, and leave the final element untouched when the length is odd. Tests precise reading of a short specification and careful index handling.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Sort Every Concentric Matrix Border ClockwiseMedium

  This problem tests array traversal, boundary management, and sorting logic by requiring you to isolate concentric layers of a matrix and sort their contents independently.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Sort Matrix Diagonals By Their ValuesMedium

  Tests matrix traversal along anti-diagonals, string formation, and custom multi-key sorting with deterministic tie-breaking.

  Capital OneSoftware EngineerCoding & AlgorithmsTechnical Screen
• Sorted Sums of Absolute Differences Over All Cyclic Shifts of an ArrayMedium

  Given two integer arrays of equal length, compute the sum of absolute differences between the second array and every cyclic rotation of the first, then return all of these sums in non-descending order. It tests rotation index arithmetic, accumulation over every shift, and exact output ordering.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Sum of Distinct Values on the Borders of All Maximum-Sum Square FramesHard

  Among all square frames of a given size inside an integer matrix, find those with the largest border sum, then add up the distinct values that appear on the borders of every such frame. Tests careful border enumeration that excludes interior cells, tie handling across several frames, and de-duplication by value.

  Capital OneSoftware EngineerCoding & AlgorithmsOnline Assessment
• Support updates and count target-sum pairsHard

  This problem tests the ability to maintain frequency counts of elements in a dynamic dataset and perform efficient range-sum queries for pairs that satisfy a target condition.

  Capital OneMachine Learning EngineerCoding & AlgorithmsOnline Assessment
• Test and Run a Reproducible Data Science PipelineMedium

  Design and implement a robust, testable Python data pipeline class that validates input data schemas, handles feature transformation, logs execution metrics, and produces versioned outputs. Write targeted unit and integration tests ensuring graceful failure on corrupted inputs.

  Capital OneData ScientistSoftware Engineering FundamentalsTechnical Screen
• Top Two Teams by Points, Then Goal Difference, Then Goals ScoredMedium

  Given parallel arrays of wins, draws, goals scored and goals conceded for each team, compute points as three per win plus one per draw and return the indices of the top two teams. Ties are broken by goal difference, then goals scored, then index, testing multi-key comparison and careful tie handling.

  Capital OneSoftware EngineerCoding & AlgorithmsHR Screen
• Use data to resolve an ambiguous problemHard

  This question evaluates a data scientist's competency in end-to-end data analysis, causal identification, statistical modeling, data quality and governance, bias assessment, and communication of uncertainty when addressing an ambiguous business problem.

  Capital OneData ScientistBehavioral & LeadershipTechnical Screen
• Validate Unit-Test Coverage and Identify Missing ScenariosMedium

  This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Validate Unit-Test Coverage and Identify Missing Scenarios states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Capital OneData ScientistCoding & AlgorithmsOnsite
• Validate virtual credit card transactions from encoded IDsMedium

  This question evaluates understanding of virtual credit card product trade-offs and the ability to design data models and deterministic validation logic for encoded transaction attributes, testing competencies in payment systems, data encoding/decoding, and rule-based validation.

  Capital OneMachine Learning EngineerSystem DesignOnsite
• Virtual Card Case Study: Trade-offs, Card Number Rule Checks, and Debugging a FilterMedium

  A three-part virtual credit card case study: weigh the benefits and costs of giving merchants virtual card numbers, check five sample numbers against length, Luhn checksum and prefix rules, and debug a Python filter whose conditionals accept invalid numbers. It tests product reasoning, careful manual analysis and evidence-driven debugging.

  Capital OneSoftware EngineerSoftware Engineering FundamentalsOnsite
• Virtual Card Numbers Case: Trade-offs, Payment Validation Rules, DebuggingMedium

  A three-stage case interview on virtual credit card numbers. It covers the benefits and problems of virtual cards for cardholders and the issuer, a hand walkthrough that validates payments against digit-by-digit card number rules, and debugging messy validator code for inverted boolean operators and boundary errors.

  Capital OneSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Visualize Price Impact on Demand and Profit TrendsEasy

  Evaluates price sensitivity and profit-curve reasoning for a network service with downward-sloping demand. Strong answers explain demand curves, profit shape, marginal revenue, marginal cost, and optimal price.

  Capital OneData ScientistAnalytics & ExperimentationOnsite
• Why Retain Phone Channel Despite Lower Profitability?Medium

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Why Retain Phone Channel Despite Lower Profitability? states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Capital OneData ScientistBehavioral & LeadershipTechnical Screen
• Write SQL for lowest price with ratingsMedium

  This question evaluates SQL data-manipulation skills including aggregation, conditional filtering, NULL handling, grouping, and deterministic ordering, and sits in the Data Manipulation (SQL/Python) domain with an emphasis on practical application of query writing rather than purely conceptual design.

  Capital OneData ScientistData Manipulation (SQL/Python)Technical Screen
• Write SQL for theme-park revenue and visitsMedium

  This question evaluates SQL data-manipulation and analytical skills, including joins, aggregations, date-range filtering, handling multiple ticket ownership, and edge cases like zero counts when computing revenue and visit metrics.

  Capital OneData ScientistData Manipulation (SQL/Python)Onsite
• Write SQL to compute campaign net revenueMedium

  This question evaluates SQL-based data manipulation and analytics skills, including aggregation, deduplication, date-range filtering, revenue and cost calculations, and selection logic for prioritizing additional donors.

  Capital OneData ScientistData Manipulation (SQL/Python)Onsite
• Write SQL to find top net-revenue productsMedium

  This question evaluates proficiency in SQL data manipulation, including joins, aggregations, date-window filtering, handling returns and net-revenue calculations, plus the use of analytic/window functions for per-category ranking and tie-breaking.

  Capital OneData ScientistData Manipulation (SQL/Python)Technical Screen