J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Optiver (Sydney) en juin 2022
Entretien
I made it to the third stage of the process, so passed the aptitude and quantitative HackerRank test, but blew the first interview with HR.
The quantitative test was pretty fun, and requires good mathematical problem solving more than hard maths. Memorising simple dice and card probabilities would be advantageous. It also had a data analytics section, where we were provided a long dataset with some nasty errors in it, so brush up on reshaping and cleaning data.
Had a nice chat with the HR interviewer. She mentioned they hire from all academic backgrounds for the quant researchers, so if you have an unrelated degree but like maths and are interested, you might as well go for it.
Questions d'entretien [1]
Question 1
How do you know about Optiver?
What does Optiver do?
How do you use maths in your everyday life?
J'ai postulé en ligne. J'ai passé un entretien chez Optiver
Entretien
Passed Multiple Rounds.
First was a long OA with coding and maths questions.
Then HR
Then technical interview with a quant researcher.
Then a data challenge then i had to present the results of my data challenge.
Failed at this round
Questions d'entretien [1]
Question 1
Markov and coin tosses questions.
Probability that a table with 3 legs places randomly on a circle doesn't fall.
Questions about what would happens if features were correleated, why this model not another one, why this hyperparameter. difference ridge vs lasso. difference supervised vs unsupervised
J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Optiver (Amsterdam) en nov. 2025
Entretien
OA, HR interveiw, Technical Interview, Take home assignment, Final round interviws (one HR one tech discussing take home). OA can be practised on various websites online. HR screen focussed on team work a lot. Technical was not too difficult, I may have just lucked out with the questions. Final round discussed ML techniques and their assumptions
2:30 hr OA contains coding probability game and quick math. Then a market making game round. Need to be quick. Then will be another market making game round. Both asking questions to make market.