J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez GSA Capital en nov. 2019
Entretien
Extremely disappointing process. The PM I interviewed with was only interested in the strategy I built for another hedge fund. He was not at all interested in other work I did, or my skills. He kept asking me to give him specifics about the strategy, while I gave the more general detail from the academic research about the topic while telling him that it's proprietary. After realizing that I'm not giving out the specific variable names, data source, etc, he started telling me that what I did was completely wrong and my strategy wouldn't make money. Same with the other strategy I built for another hedge fund. Overall a terrible experience, not sure why they want to extract strategy from the interview, maybe they don't have much going on for themselves.
One on One interview with a research team manager. He probes probability questions. Mostly conditional. Atmosphere quite relaxed. It was great fun. Id do it again. Every time it was cool.
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez GSA Capital (Londres, Angleterre) en avr. 2026
Entretien
Did an online assessment, it consisted of mix of probability braintreasers,logical puzzles, machine learning, linear algebra and programming ( mostly sorts and data structures) questions . Was not invited to the next round
Entretien difficile
Candidature
J'ai postulé en ligne. J'ai passé un entretien chez GSA Capital (Londres, Angleterre) en déc. 2025
Entretien
Received Hackerrank OA for first screening. 40 minutes for 25 questions in many topics. Either "multiple choice" or "insert numerical answer" types of questions. The time allocation is very punishing, and I did not make it past their filter.
Questions d'entretien [1]
Question 1
Basic probability (conditional; Bayes theorem; correlation; expected value of order statistics; IID sequences), statistics (linear regression, think how beta varies under changes in the data), brainteasers (inference for ordered information; e.g. five people arrive to a place, incomplete information on arrival times and order, which option is necessarily true (or false)), speed of algorithms and data structure data access (sort, indexing; how fast does a structure access data), linear algebra (matrices, matrix operations; determinants and their properties), zeroes or maximums of curves under domain constraints (also in higher dimensions), mathematical series (where does a given Taylor series converge).