Akuna Capital's Quantitative Analyst interviews typically open with timed math/coding assessments, move through a recorded video round and a trading simulation, then live technical and behavioral interviews for candidates who advance furthest.
$138K
Avg. Base Comp
$235K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Speed under pressure matters as much as raw correctness in Akuna Capital's Quantitative Analyst process. Most candidates describe starting with a timed online assessment mixing mental math, number sequences, and coding, often on HackerRank. Problems range from quick arithmetic to LeetCode-medium algorithms, including a variable-length sliding window and occasionally dynamic programming. Expect wordy prompts: one candidate found the problem statements harder to parse than the code itself, so practice reading dense specs quickly. Another candidate went through a mini-lecture series on trading and options basics, with quizzes that acted as the first filter. That makes comfort with options fundamentals worth building before you apply.
From there, many candidates encounter a recorded, one-way video round on platforms like VidCruiter or EasyHire. Probability and trading-scenario prompts come with tight per-question timers, roughly two and a half to five minutes, and there is no live interviewer. Typical prompts cover coins, dice, cards, betting, and Markov chain-style questions. A recurring element worth practicing deliberately is a trading or market-making exercise, where candidates calculate expected values and make decisions on the clock. One setup asked for a trading strategy based on a set of letters.
Live interviews, for those who reach them, typically blend coding with probability and expected-value questions. Coding prompts cover data structures and OOP-style design, such as O(1) get_max, get_mean, and get_mode methods. Direct "why trading, why Akuna" behavioral questions also come up. Some candidates report long gaps between stages and messy final-round coordination, so build patience into your timeline. Above all, practice explaining probabilistic reasoning out loud under time pressure; candidates say clarity of thought counts as much as the final number.
Synthesized from 17 candidate reports by our editorial team.
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Real interview reports from people who went through the Akuna Capital process.
What stood out to me most was that the process started before any real interview. I had to go through a mini-lecture series with three lectures covering trading and options basics, and each lecture had an online quiz that had to be completed before moving on to the next one. The quizzes felt like the main filter, since the top performers were the ones selected to continue. After that, the process moved into a more traditional interview flow: an online assessment, a recruiter phone screen, then a phone interview with a trader, and finally another interview with a trader.
The content itself was pretty focused on math and options. I was asked questions about options, and there was also the kind of quick calculation work where you have to answer under time pressure. That part was a little difficult for me because I hadn’t studied finance much, so the options questions were harder than the pure math. The later behavioral round was straightforward and standard, with questions like why trading and why Akuna. Overall it felt very structured and selective, with a heavy emphasis on whether you could pick up the options material quickly and perform well on short, timed calculations. I didn’t get an offer, so my main takeaway is that it helps a lot to be comfortable with options basics before the process even begins, not just during the interviews.
Prep tip from this candidate
Do the options/trading mini-course seriously and make sure you can answer the quiz-style questions quickly, since that appears to be the main gate. Also practice short, timed mental calculations on options concepts, because the live rounds included fast math under pressure.
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Topics based on recent interview experiences.
Featured question at Akuna Capital
Compute the probability the coin is double headed and the probability the next toss is a head given 10 heads
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report starting with one or more timed online assessments, often on HackerRank. These typically combine fast mental arithmetic, number sequences, and coding problems, ranging from easy arithmetic to LeetCode-medium algorithms and occasionally dynamic programming. Some candidates describe a separate math-focused OA before the coding test; the exact combination and number of problems appears to vary somewhat by cycle and role.
Many candidates report a one-way, recorded video round on platforms such as VidCruiter or EasyHire. It features probability, mental math, or trading-scenario questions with strict per-question time limits of roughly two and a half to five minutes. Clarity of the explained reasoning appears to matter alongside the final answer, and candidates note there is no live interaction during this stage.
Multiple candidates describe a trading or market-making exercise where they make rapid expected-value or strategy decisions under a running clock. Examples include a 45-to-60-minute market-making game and choosing a trading strategy from a set of letters. It tests probability intuition and quick decision-making, and it may appear as its own round or be combined with other assessments.
Candidates who advance typically describe one or more live technical interviews. Topics include coding (data structures and OOP-style design with follow-up questions), probability and expected value, and sometimes options or trading-strategy questions. Difficulty is generally described as medium to medium-hard, with a strong emphasis on explaining reasoning clearly rather than just reaching an answer.
A final stage, when reached, commonly includes a behavioral conversation with questions like "why trading" and "why Akuna." It is sometimes paired with one last trader interview or an HR conversation. One candidate described long gaps between stages and messy final-round coordination, so the end of the process may move more slowly than the early assessments.
