The Society for Industrial and Applied Mathematics brings together applied mathematicians, probabilists, statisticians, computer and data scientists, economists and industry practitioners to examine mathematical and computational methods in quantitative finance. Themes include algorithmic trading, agentic and generative AI, climate finance, digital assets, credit and cyber risk, financial data science, insurance mathematics, market microstructure, stochastic control, systemic risk and volatility modelling. Minisymposium proposals are due 17 November 2026, followed by contributed lecture, poste
In Applied Mathematics and Data Science