From Compliance to Dashboard: Building a Basel III Risk Platform with Streamlit and PostgreSQL
Introduction
Hi, Iām Thomas Martins š§š· / Martinez šŖšø, a quantitative risk analyst, economist and statistician with a strong background in time series forecasting and financial econometrics.
I build full-stack, production-grade tools for risk analytics and supervisory reporting, combining end-to-end data pipelines, probabilistic programming and economic models to deliver reproducible and interpretable outputs for regulatory metrics and risk management.
My portfolio includes three projects that demonstrate my ability to build data pipelines, deploy interactive dashboards, and integrate quantitative methods in a modern risk infrastructure:
An end-to-end platform for Basel III liquidity, capital, and IRRBB metrics, including PostgreSQL schema design, SQLAlchemy integration, and Streamlit dashboard deployment. Live App | GitHub | Blog
Alongside my professional activities, my research interests include:
Iām passionate about using Bayesian methods and structural modeling to answer complex economic questions at the intersection of statistics, finance and macroeconomics.
Curious about my academic work?
Visit my Research page for ongoing projects and ideas.
You can also explore some of my Blog posts
I have an open-access digital book:
Bayesian Methods in Asset Pricing
Feel free to reach out by email:
thomascsmartins (at) gmail.com
Thanks for visiting!