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AKUNA CAPITALCompany guide
Updated weekly · Reviewed by the Dataford team

AKUNA CAPITAL interview process & guide 2026

Interview difficulty 6.0 / 10Based on 650 interview reports

Everything we know about interviewing at AKUNA CAPITAL: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

Quantitative AnalystSoftware EngineerData EngineerData ScientistMachine Learning EngineerResearch Analyst
Practice AKUNA CAPITAL questionsSee the process

At a glance

6.0/ 10
Interview difficulty 6.0 / 10
Rated by candidates who reported interviewing here. Harder than 99% of companies we track.
9
Role guides
650
Interview reports
12
Topics tracked
$137k
Median total comp
4 rounds
  1. 1
    Recruiter screen
  2. 2
    Online assessments (coding and quantitative)
  3. 3
    Technical phone screens and video interview
  4. 4
    Onsite interview loop and superday
01 · Overview

Interviewing at AKUNA CAPITAL

AKUNA CAPITAL evaluates you through a quant-heavy sequence of automated tests, live technical screens, and a multi-interview superday that mixes technical coding, probability and quantitative reasoning, and market knowledge with behavioral fit. Python is the most prominent programming topic in their question set, and math, probability, Linux, and algorithmic problem solving also show up very prominently.

Across roles, the loop tests whether you can code under time pressure and reason quantitatively. The most prominent topic areas in their questions are Python, math, probability, quantitative analysis, algorithmic problem solving, Linux, and financial markets, with performance optimization and low latency technologies also recurring. You should expect interviews that go beyond just “solve it”, with recorded and live formats described as requiring you to walk through your thinking.

The process includes one or more online assessments, then technical phone screens and video-style evaluation steps, and culminates in a superday and onsite-style loop with multiple interviews. From candidate reports, timelines and scheduling can vary, and several candidates report long waits or unclear closure after interviews, even when the interviews themselves felt structured and respectful.

Good to know

The question data is extremely quant-forward, and multiple candidate reports describe timed OAs and probability segments where clarity of reasoning, not just a final numeric answer, mattered.

02 · Difficulty and outcomes

How hard is the AKUNA CAPITAL interview?

Aggregated from 650 interview experiences
Difficulty mix
Easy6%
Medium51%
Hard42%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
9%about 1 in 11

About 1 in 11 candidates with a known outcome convert.

47 offers across 505 reports with a stated outcome.
Experience sentiment
41%positive
Positive 41%Neutral 43%Negative 16%
Reports by year
127
158
95
69
25
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

4 rounds · based on 650 candidate reports
  1. 1
    Recruiter screen

    You start with an initial recruiter conversation for background, expectations, and basic qualifications. Use it to align your story with the quant and coding intensity reflected in the topic set and OA descriptions.

    background alignment · communication · role fit
  2. 2
    Online assessments (coding and quantitative)

    You complete one or more automated assessments. Reports describe HackerRank-style coding and math or probability segments that are timed and may require mental math and explanation of reasoning as part of the submission.

    coding under time pressure · quantitative reasoning · probability
  3. 3
    Technical phone screens and video interview

    You move into live technical screens and possibly a video interview, including recorded or HireVue-like evaluation formats. Expect problem solving that may involve walkthroughs, deep dives on quantitative topics, and language-specific or computer science fundamentals.

    problem solving · quantitative fundamentals · coding-by-discussion
  4. 4
    Onsite interview loop and superday

    You complete an onsite or virtual onsite loop with multiple interviews, described as four to five interviews in one reported loop, and a superday described as comprehensive with back-to-back rounds. These rounds cover behavioral fit, technical coding, live problem solving, and market knowledge, with cross-functional stakeholders mentioned across engineering, trading, and operations.

    market knowledge · coding and efficiency · probability and math
04 · Topic breakdown

What AKUNA CAPITAL actually tests for

How prominent each skill is across reported loops
100%
Probability Theory
89%
Algorithms
86%
Python
82%
Probability
78%
Statistics
76%
SQL
75%
Data Structures
74%
C++
73%
Linear Algebra
55%
Object-Oriented Programming (OOP)
51%
Calculus
47%
Optimization Techniques
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions AKUNA CAPITAL interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Quantitative Analyst
$145k-$145k total comp
Real questions · Loop structure · Pay bands
Open the guide
Software Engineer
$114k-$145k total comp
Real questions · Loop structure · Pay bands
Open the guide
Data Engineer
3 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 9 of 9 role guides
Data Analyst
$98k-$155k
Open guide
Data Scientist
$145k-$145k
Open guide
Machine Learning Engineer
Questions and loop structure
Open guide
Operations Analyst
$9k-$68k
Open guide
Project Manager
$3k-$3k
Open guide
Research Analyst
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Data ScientistQuantitative AnalystSoftware Engineer
06 · Compensation

What AKUNA CAPITAL pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $137k
Level$50kTotal comp range$200kTotal
Entry-Level
Base $80k-$121k · Bonus $18k-$34k
$98k-$155k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Practice timed Python coding and DSA patterns, because Python is the top programming topic and algorithmic problem solving appears very prominently. Keep solutions efficient and be ready to explain tradeoffs quickly.
  • Brush up on probability and quantitative analysis fundamentals, including explaining your reasoning under time constraints. Candidates describe probability questions that required stating reasoning and final answers fast.
  • Prepare for live problem solving and walkthroughs in recorded or video interviews. Multiple reports emphasize describing how you arrived at the solution, not only producing the output.
  • Align your prep with the environment and systems aspects in the topic set, especially Linux plus performance optimization and low latency technologies. Build examples that connect your code and reasoning to efficiency and system constraints.

Avoid this

  • Do not treat the process as purely coding. The topic set heavily weights math, probability, quantitative analysis, and financial markets, and several reports describe math and probability components alongside coding.
  • Do not rely on a single format or platform assumption. Reports reference HackerRank-style assessments and HireVue-like recorded interviews, and the flow can include multiple online assessments.
  • Do not assume follow-up timing or closure will be clear. Several candidates report silence or confusing delays after completing interviews, so stay proactive about scheduling logistics if you advance.
  • Do not under-prepare for efficiency-focused questions. Performance optimization and low latency technologies are prominent, and candidate reports mention systems-style follow-ups and tight time windows.
08 · FAQ

AKUNA CAPITAL interview FAQ

Answered from real candidate and workplace data
How hard are the interviews and assessments?

Across candidate reports, the difficulty split is mostly medium (51.5%) and hard (38.4%), with very hard at 3.8% and easy at 6.3%. This aligns with the topic mix that includes probability, quantitative analysis, and algorithmic problem solving, which show up as very prominent topics.

What is the interview format like, live versus recorded?

The reported process includes video interviews and superday-style back-to-back interviews after online assessments. Candidate reports also describe recorded interviews where you walk through your thinking, plus timed online assessments that require both speed and reasoning.

What should I prioritize in my technical prep?

Prioritize Python, math and probability, quantitative analysis, and algorithmic problem solving. Also prepare for Linux and financial markets topics, plus performance optimization and low latency technologies, since these are prominent in the question set.

Do they test coding only, or do they also test reasoning and math?

They test both. The topic set includes math, probability, quantitative analysis, and financial markets, and multiple reports describe math and probability-heavy OAs with timed segments.

What about scheduling, timing, and feedback after the process?

Scheduling can affect whether you progress, and at least one candidate report describes not attending the final live stage due to an external deadline. Several reports also describe slow or unclear feedback and silence after interviews, including cases where rejection was delivered without clear closure.

What are the chances of getting an offer?

From the aggregated candidate report dataset provided here, the offer rate is 0.0%. Positive sentiment is 41.5%, and there are many reports of not receiving an offer.

09 · In their words

What people say about AKUNA CAPITAL

Verbatim snippets from employee and candidate reviews
“Great people make for an enjoyable work environment.”
Software Engineer4.0
“Akuna fosters a culture of continuous learning and personal development.”
Software Engineer4.0
“Navigating challenges independently can be difficult, but it ultimately leads to rewarding growth.”
Software Engineer4.0
“Be prepared to take initiative and solve problems on your own; it can be a valuable learning experience.”
Software Engineer4.0
“The work-life balance is excellent, but the compensation leaves much to be desired.”
Software Engineer3.0
“The company is continuously improving, demonstrating a commitment to growth and development.”
Software Engineer5.0
10 · Keep prepping

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