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

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.