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Akuna Capital interview questions
26 practice questions in the style of Akuna Capital's interviews, covering Data Manipulation (SQL/Python), Software Engineering Fundamentals, Coding & Algorithms, System Design.
1 easy18 medium7 hard
Akuna Capital interview questions by the numbers
Last updated
Katkat has 26 Akuna Capital interview questions. The largest topics are Coding & Algorithms (54%), Software Engineering Fundamentals (23%) and System Design (15%). By difficulty: 4% easy, 69% medium and 27% hard. The most common round is Online Assessment (54%). Frequent concepts include Arrays, Greedy, Optimization and Strings.
Topics
- Coding & Algorithms54% · 14
- System Design15% · 4
Difficulty
- Easy4% · 1
- Medium69% · 18
- Hard27% · 7
Interview rounds
- Online Assessment54% · 14
- Technical Screen35% · 9
- HR Screen12% · 3
Roles
- Software Engineer81% · 21
- Data Scientist12% · 3
- Data Engineer8% · 2
Frequent concepts
- Arrays8% · 2
- Greedy8% · 2
- Optimization8% · 2
- Strings8% · 2
- Aggregation4% · 1
- Architecture4% · 1
Most mentioned in interview experiences
- 1.Design an order-matching engine1 report
- 2.Design two-user communications handler with exceptions1 report
- 3.Evaluate a Hexadecimal Bitwise AND1 report
- 4.Find the Maximum Value in a Binary Tree Recursively1 report
- 5.Implement a two-user communications handler1 report
Counted from 3 candidate interview experiences on Katkat. How we collect and count
Showing 1–26 of 26 results
This question evaluates proficiency in SQL query semantics and reasoning about relational operations—specifically INNER, LEFT, and RIGHT JOIN behavior; GROUP BY and HAVING usage; NULL handling in comparisons and aggregates; window functions such as ROW_NUMBER and RANK; and the logical query processing order—within the Data Manipulation (SQL/Python) domain. It is commonly asked to assess the ability to interpret and justify query outcomes versus alternative answers, testing both conceptual understanding of relational theory and practical application of SQL query behavior.
Akuna CapitalSoftware EngineerData Manipulation (SQL/Python)Online AssessmentThis question tests your understanding of language-level performance characteristics, memory management, and development velocity trade-offs in a distributed systems context.
Akuna CapitalSoftware EngineerSoftware Engineering FundamentalsHR ScreenThis problem tests graph traversal (connected components) and hash-map manipulation to calculate net delta changes in portfolio assets within identified groups.
Akuna CapitalData EngineerCoding & AlgorithmsOnline AssessmentThis question evaluates a candidate's ability to reason about time-series and transaction-constrained optimization, including handling unsorted inputs, duplicate records, and constructing an explicit sequence of trades under ordering and no-short-selling constraints.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentThis question evaluates algorithmic problem-solving skills related to integer transformations and reasoning about sequences of allowed operations, focusing on optimizing the number of steps. It is commonly used in the Coding & Algorithms domain to assess practical application of algorithmic thinking and time-complexity analysis, testing efficiency reasoning rather than purely conceptual knowledge.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentThis interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Count subarrays equal to target states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalData ScientistCoding & AlgorithmsTechnical ScreenDesign a multi-tiered in-memory item store that enforces tier capacity limits, dynamic expiration, and deterministic retrieval using dual heaps and lazy cleanup.
Akuna CapitalSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis question evaluates a candidate's ability to design a high-throughput, low-latency in-memory limit order-matching engine, testing competencies in data structure selection, algorithmic complexity, deterministic concurrency, API design, and handling domain-specific constraints such as self-trade prevention.
Akuna CapitalSoftware EngineerSystem DesignTechnical ScreenThis question evaluates object-oriented design, state management, and custom exception handling skills for enforcing a single active communication pair and related invariants between two users.
Akuna CapitalSoftware EngineerCoding & AlgorithmsHR ScreenThis interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design user communication functions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalSoftware EngineerSystem DesignOnline AssessmentThis question evaluates understanding of SQL type coercion, boolean semantics, comparison operators, and dialect-specific evaluation behavior (for example, MySQL), focusing on interpreting expressions that may evaluate to zero.
Akuna CapitalSoftware EngineerData Manipulation (SQL/Python)Online AssessmentTests understanding of bitwise operations, hexadecimal-to-binary mapping, and manual nibble-level alignment without relying on arbitrary-precision integer conversions.
Akuna CapitalSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis question evaluates array manipulation and permutation-based reasoning for minimizing swap operations, including handling of duplicate values and performance considerations, within the Coding & Algorithms domain for a Data Scientist role.
Akuna CapitalData ScientistCoding & AlgorithmsOnline AssessmentImplement a recursive binary tree traversal to find the maximum integer value in a tree, with careful handling of pointer safety, sentinel values, and edge cases like all-negative nodes.
Akuna CapitalSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Fix and harden an object pool states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalSoftware EngineerSystem DesignOnline AssessmentThis question evaluates understanding of heap data structures and the in-place bottom-up heapify algorithm for building a max-heap on a 0-indexed array, testing skills in array manipulation, heap invariants, and algorithmic reasoning.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentThis question evaluates front-end React skills including controlled components, state synchronization, interdependent input validation, keyboard accessibility/ARIA, and unit testing for UI behavior, and it sits in the Front-end/UI development domain (Other/Miscellaneous) with an emphasis on practical implementation rather than purely conceptual reasoning. It is commonly asked because interviewers use it to verify an engineer's ability to enforce input constraints, integrate dropdowns with existing form state and submission flows, maintain accessibility with native controls, and provide test coverage for validation and disabled-option behavior.
Akuna CapitalSoftware EngineerSoftware Engineering FundamentalsHR Screen- Implement a ring bufferMedium
This question evaluates implementation skills for fixed-capacity circular buffers and competency in array-based data structures, including O(1) push/pop/peek/isEmpty/isFull/size operations and logical-order iteration.
Akuna CapitalSoftware EngineerCoding & AlgorithmsTechnical Screen This question evaluates skills in stateful resource management, API and abstraction design, custom exception handling, and input validation for enforcing a single-active connection between two users.
Akuna CapitalSoftware EngineerSystem DesignOnline AssessmentThis problem tests greedy strategy optimization and frequency counting to maximize the count of unique elements across two arrays after a limited number of swaps.
Akuna CapitalSoftware EngineerCoding & AlgorithmsTechnical ScreenThis interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Maximize profitable pairs states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalData ScientistCoding & AlgorithmsTechnical ScreenThis problem tests greedy algorithm design and sequence optimization by calculating the cumulative distance required to shift all '1's to the end of a binary string.
Akuna CapitalSoftware EngineerCoding & AlgorithmsTechnical ScreenThis interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve swaps, graph paths, and movie DP states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentThis interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve three C++ algorithmic tasks states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentTrace code and find frequent character evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Akuna CapitalSoftware EngineerCoding & AlgorithmsOnline AssessmentThis question tests the ability to join multiple tables, handle date filtering with range conditions, and perform grouped aggregations to calculate average metrics across different resource categories.
Akuna CapitalData EngineerSoftware Engineering FundamentalsOnline Assessment
Akuna Capital interview experiences
All 13 →- Hexadecimal AND and Binary Tree RecursionAkuna Capital · Software Engineer · Technical Screen · Aug 2026
This technical interview mainly covered C++ fundamentals, bitwise operations, binary-tree recursion, and dynamic memory management. The questions themselves were not difficult, but there was a strong focus on pointer use, boundary conditions, and low-level implementation details. Bitwise Operation Question: Calculate: Convert both hexadecimal values to binary: After applying the bitwise AND: Ther…
- AKUNA CAPITAL Quantitative Analyst Interview Experience: Canditech completed but HackerRank access missingAKUNA CAPITAL · Quantitative Analyst · HR Screen · Jul 2026Rejected
After a recruiter-style step, I was routed into a tightly scheduled online assessment sequence. One Canditech portion was harder and had multiple questions where I was expected to explain my thinking and math as I went. The other portion was supposed to be a HackerRank test immediately afterward, but I never received access despite reaching out multiple times. I did complete Canditech. It had sev…
- AkunaCapital Quantitative Analyst Interview Experience: a missing HackerRank link stalled two assessmentsAkunaCapital · Quantitative Analyst · HR Screen · Jul 2026No response
After a recruiter step, I was given an online assessment split into two back-to-back parts: a HackerRank coding test and a Canditech portion. The plan was one harder LeetCode-style HackerRank problem, then Canditech questions where I would explain my thinking through math and probability prompts. Canditech also included mental math and a recorded video response within a time limit. I never comple…
- AKUNA CAPITAL Quantitative Analyst interview experience: math video and coding screenAKUNA CAPITAL · Quantitative Analyst · Online Assessment · Jun 2026Rejected
My run began with an online assessment and video interview, then moved into a more interactive technical round. During the video step, I answered math and probability questions and had to explain how I reached each solution. It was not enough to give an answer. I needed to make my reasoning clear. The technical round included coding-related questions and a couple that connected to my resume. The…
- AKUNA CAPITAL Quantitative Analyst interview with quant-style math testingAKUNA CAPITAL · Quantitative Analyst · Online Assessment · Jun 2026
My process started with the usual screening and assessments, then moved into online testing that leaned heavily on quant style math. I reached the later stages, including a final technical evaluation. The last question was the one that tripped me up. I couldn't land the final step cleanly, and I couldn't tell whether that meant I was done entirely or whether there was any behavioral wrap-up after…
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