Summary
Ignacio Vilaplana is an Analytics Engineer with a decade of hands-on experience applying AI/ML and quantitative methods across finance and telecoms, currently enabling clients at Alteryx to become data-driven. He has led AI initiatives at Euskaltel and built production financial models at banks and fintechs, combining a deep risk-management background with practical model deployment skills. His trajectory spans trading, regulatory capital, and product-facing data science roles at DataRobot and Atom Bank, reflecting fluency from research to pre-/post-sales technical enablement. Ignacio holds advanced quantitative credentials—including a PhD in Mathematics—and pairs that academic rigor with entrepreneurial experience as a founding partner, making him comfortable translating complex models into business value. Notably, he blends financial risk specialization with a passion for data science tooling, often acting as the bridge between technical teams and commercial stakeholders.
8 years of coding experience
4 years of employment as a software developer
Masters degree, Financial Markets, Masters degree, Financial Markets at IEB
Doctor of Philosophy - PhD, Matemáticas, Doctor of Philosophy - PhD, Matemáticas at Durham University
Executive Masters in Quantitative Finance, Executive Masters in Quantitative Finance at Afi Escuela de Finanzas
Telecommunications Engineer, Telecommunications, Mathematics, Physics, Computer Networks, Telecommunications Engineer, Telecommunications, Mathematics, Physics, Computer Networks at Universidad Alfonso X El Sabio
Data Science Bootcamp, Data Science, Data Science Bootcamp, Data Science at K2 Data Science
Spanish, English, French