Roger Ren

Background

About Roger Ren

At EY, I lead the design and implementation of quantitative models for financial institutions, blending expertise in machine learning, data science, and credit risk. I have extensive experience developing and validating machine-learning models using open-source tools such as scikit-learn, pandas, NumPy, XGBoost, and statsmodels, enabling robust, data-driven decision-making. With a Master’s in Management in Artificial Intelligence (Schulich School of Business – York University) and a B.Sc.(Honors) in Applied Mathematics (Western University), I bring a strong foundation in statistics and mathematics, reinforced by specialized knowledge in risk modelling. A solution-driven self-starter, I thrive in both independent and collaborative environments, particularly when tackling complex, high-impact problems. My goal is to deliver innovative, high-quality solutions that exceed client expectations and drive measurable value.