Ho presentato la mia candidatura tramite un'agenzia di reclutamento personale. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Point72 (Londra, Inghilterra)
Colloquio
Applied for a systematic branch of the fund: Cubist.
First interview with PM, quite good, aligning on expectations from both sides. Then technical interview with dev. Very detailed, testing different areas - it was pretty good interview.
Then I had an interview with Quant Researcher, 30 minutes grilling me on my background and why I was changing my jobs every two years, even the ones 10 years ago, 15 minutes of easy mathematical questions. The interviewer was very intimidating, even though he was asking rather easy questions.
I failed after this interview.
Just want to mention that PM had expectations me staying for 2-3 years.
Domande di colloquio [1]
Domanda 1
Docker, python, operating systems, Gaussian distribution
The interview was a 30 mins call with recruiter discussing the basic expectations of the role, relocation requirements, etc. The recruiter did not know the salary range, which was odd for the recruiter to not know.
Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Point72 (New York, NY) nel mese di giu 2025
Colloquio
First round was a technical interview with a team member. Began with basic resume questions, Then proceeded to a basic algorithm + system scalability question. Start with a leetcode-style algorithm/data-structure question, finish by discussing how to scale/optimize it for a large system (focusing on time complexity/caching, not specific implementations). Interviewer was very friendly and supportive throughout the interview. Approximately leetcode medium.
Domande di colloquio [2]
Domanda 1
"What would be time complexity and space complexity be for your proposed algorithm?"
