Summary
Facundo Fernandez is a quantitative analyst and data scientist with four years of experience blending financial markets expertise and machine learning to solve pricing, risk and forecasting problems. He has applied advanced valuation and XVA models at PwC, developed time-series forecasting solutions at Nixtla, and now supports CIB delivery operations at Santander while also managing client portfolios and content as a financial advisor. Trained in quantitative finance (UCEMA), data science (Henry) and finance (EAE, Universidad Nacional de Córdoba), he pairs hands-on Python, PySpark and ML tool experience with capital markets certifications and practical derivatives trading know‑how. Comfortable working under pressure, he brings both audit-grade valuation rigor and product-oriented forecasting instincts, plus the uncommon combination of delivery-side quant work and direct client-facing portfolio management.
4 years of coding experience
1 year of employment as a software developer
Licenciatura en Administración (Especialización en finanzas) Administración y gestión de empresas, Licenciatura en Administración (Especialización en finanzas) Administración y gestión de empresas at Universidad Nacional de Córdoba
Programa de Finanzas Cuantitativas QUANt Finanzas Cuantitativas, Programa de Finanzas Cuantitativas QUANt Finanzas Cuantitativas at Universidad del CEMA
Máster en Finanzas Financial Planning and Services, Máster en Finanzas Financial Planning and Services at EAE Business School
Programa de Especialización en Mercado de Capitales Banca y servicios financieros, Programa de Especialización en Mercado de Capitales Banca y servicios financieros at Bolsa de Comercio de Rosario
Data Scientist Data Science, Data Scientist Data Science at Henry
English, Portuguese, Spanish