Research
We study financial machine learning, causal investment, portfolio construction, and quantitative risk through explicit assumptions and mathematical models.
Explore the lessons →RiskLab AI
About RiskLab
RiskLab is an international research network based in Toronto. We connect mathematical finance, statistical learning, and software that people can inspect and run.
Our work begins with a precise question, develops the mathematics, and follows it with numerical evidence. The same ideas appear in our libraries, notebooks, and lessons, so readers can move between theory and implementation.
How the work fits together
Software
Our public Python and Julia libraries turn published methods into tested tools that researchers and practitioners can inspect and use.
View the software →Notebooks
Runnable notebooks connect equations to numerical experiments, figures, tables, and public data.
Open the lessons →Leadership
RiskLab is led by Luis Seco, Professor of Mathematics at the University of Toronto, and Hamid Arian, Assistant Professor of Finance at York University.
Meet the people →Work with us
We welcome conversations with researchers, students, practitioners, and contributors who want to develop or test ideas in quantitative finance.