Matthew Smith
AI Researcher In Quantiative Finance
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolMatthew Smith is an AI researcher and quantitative finance specialist with a PhD in Machine Learning applications to economics and finance and nine years of experience bridging academia, industry, and high-performance computing. He develops and deploys ML models and apps for banking and financial advisory—recently building agentic LLM-based market models and production FastAPI/LangChain services at Esade. His background includes postdoctoral research and teaching in asset pricing, pandemic-related GIS/ML products at the Barcelona Supercomputing Center (two Nature publications), and hands-on ML consulting at Deloitte. Comfortable in R, Python, C++ and Shiny, he turns research-grade methods into client-ready tools and classroom-ready curricula. Based in Barcelona, he maintains an active GitHub and blog where he documents reproducible finance/ML work, reflecting a habit of shipping research as usable software. Notably, his work spans from classical asset-pricing models to cutting-edge agentic LLM experimentation, combining deep domain knowledge with production engineering.
9 years of coding experience
5 years of employment as a software developer
Bachelor's Degree Business Management, Bachelor's Degree Business Management at Swansea UniversityDoctor of Philosophy - PhD Economics, Doctor of Philosophy - PhD Economics at Universidad Complutense de MadridMaster's degree Economics, Master's degree Economics at Universitat de Barcelona
English, Spanish
Github Skills (71)
summarize9
resampling8
r8
sec8
quantitative8
variable-selection8
tidymodels8
climate-science8
data-import8
meta-analysis8
finance8
missing-data8
tidy7
r-package7
financial7
Programming languages (3)
Github contributions (5)
msmith01/Thesis-Chapter-One
Sep 2018 - Jun 2021
Contributions:8 pushes, 1 branch in 2 years 9 months
msmith01/financial_time_series
Aug 2019 - Feb 2020
Contributions:17 commits, 16 pushes, 1 branch in 6 months
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