Summary
Henrique Fiuza is a quantitative researcher with 10 years of experience applying rigorous mathematical modeling, data science, and software engineering to alpha research and low-latency execution systems. He combines advanced academic training from École Polytechnique and ENS Paris-Saclay with hands-on production work at trading firms and fintechs, translating research into robust Scala/Spark and Python systems. His background spans reinforcement learning for personalized decisioning at Nubank, market-structure and time-series modeling at JPMorgan, and end-to-end quant research at Giant Steps and Symetrix Trading. Comfortable across the stack, he moves from deep statistical models and RNNs to high-performance execution pipelines and real-time tooling. Based in São Paulo, he pairs a strong theoretical foundation with pragmatic delivery, often bridging research code into scalable, auditable production services. A former math olympiad coach, he brings both pedagogical clarity and a penchant for elegant, data-driven solutions.
10 years of coding experience
6 years of employment as a software developer
Engineer's degree, Mathematics and Computer Science, 3.75 (specialization), Engineer's degree, Mathematics and Computer Science, 3.75 (specialization) at École Polytechnique
Computer Engineering, Computer Engineering at Instituto Tecnológico de Aeronáutica - ITA
High School, High School at Colégio Militar de Brasília
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at École Normale Supérieure Paris-Saclay
English, French, Portuguese