Focus areas: Algorithms Systems design Concurrency Networking OS internals Performance optimization C++/Java/Python depth Debugging under pressure Probability Linear algebra Statistics Stochastic processes ML fundamentals Market microstructure Signal generation Expected value puzzles Bayesian inference Regression problems Estimation questions Trading simulations

very nice process, super detailed and they asked a lot about my previous research experience and really tried to understand my view on the markets and my philosophical approach to building investment strategies

The interview process consisted in an initial HR Screening, then a coding homework, and finally onsite interviews with the the team. The final interview with the Portfolio manager consisted in a case study followed by an open conversation.