Víctor Uceda is an algorithm developer with a decade of experience at the intersection of quantitative finance and high-performance computing, currently building algorithms at Invofox (YC S22). Trained in a double degree in Computer Science and Mathematics with top honors, he has validated and implemented derivative-pricing models and risk frameworks at Santander and Management Solutions, working hands-on with Murex, Mercury and regulatory workstreams like FRTB and SA-CCR. His background includes research stints at Telefónica and the UAM HPCN group, where low-level implementations and published papers on high-performance networks sharpened his ability to turn mathematical models into efficient code. He combines deep stochastic modeling and pricing expertise with production-grade programming and product-minded thinking, enabling data-driven decision processes in both banking and tech. Known for improving model validation pipelines, Víctor brings a persistent focus on optimization and reproducibility that often uncovers hidden inefficiencies in legacy systems. Based in Madrid, he pairs continuous learning with a practical drive to ship robust, auditable algorithms.
10 years of coding experience
Doble Grado en Informática y Matematicas, Ingeniería informática y Ciencias, Nota Media: 9.13 (Nota de titulado: 3.16 / 4), Doble Grado en Informática y Matematicas, Ingeniería informática y Ciencias, Nota Media: 9.13 (Nota de titulado: 3.16 / 4) at Universidad Autónoma de Madrid
Bachillerato, Ciencias, Bachillerato, Ciencias at Colegio Padre Manyanet Alcobendas
Contributions:25 pushes, 1 branch in 2 years 9 months
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Víctor Uceda - Algorithm Developer at Invofox (YC S22)