Solicité el puesto a través de un captador. El proceso duró 1 semana. Acudí a una entrevista en Point72 (New York, NY) en jun 2025
Entrevista
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.
Preguntas de entrevista [2]
Pregunta 1
"What would be time complexity and space complexity be for your proposed algorithm?"
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.
Solicité el puesto a través de una agencia de empleo. El proceso duró 2 semanas. Acudí a una entrevista en Point72 (Londres, Inglaterra)
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
Docker, python, operating systems, Gaussian distribution
