Insights into the field and careers from our programme
Welcome to the blog from the High Dimensional Risk Modeling Programme Explore the articles below to find out more about the field and careers in advanced risk modeling and analytics.
Explainer: dimensionality reduction in practice
June 2026Dimensionality reduction is essential for modern financial analytics. This article covers the basics of principal component analysis, real-world project applications, and advice for analysts navigating complex data environments.
Read more
An interview with a quantitative analyst
June 2026Mette Sørensen, a Copenhagen-based quantitative analyst, describes her experience working with dimensionality reduction and regularization in large portfolio environments. We discussed hands-on methods, team communication, and career advice for analysts.
Read more
An interview with an analytics consultant
Explainer: model validation in high dimensional analytics
June 2026
An interview with a risk analyst
June 2026Sofia Almeida, a Toronto-based analyst, shares her experience using dimensionality reduction and regularization at a multinational firm. We discussed her daily challenges, practical tips, and the realities of advanced analytics.
Read more
Explainer: regularization in high dimensional analytics
This explainer covers the essentials of regularization for financial analytics. Learn how regularization methods reduce model overfitting, improve interpretability, and are applied in high dimensional risk scenarios.
Read more