Roman Enzmann

Roman is a solutions architect at NVIDIA, working on applied model building and accelerated software for the Financial Services Industry (FSI). His main focus area currently is foundation models for structured data, spanning from applied research on model architectures and interpretability to optimizing compute efficiency of custom model architectures. Prior to NVIDIA, Roman worked on credit risk modeling and explainable AI for boosted classification and regression models. He holds a Master's degree in Economics from the University of Bonn.
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Posts by Roman Enzmann

Simulation / Modeling / Design

GPU-Accelerated Clustering for Financial Instruments at Scale

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor... 13 MIN READ
Agentic AI / Generative AI

Transforming Financial Analysis with NVIDIA NIM

In financial services, portfolio managers and research analysts diligently sift through vast amounts of data to gain a competitive edge in investments. Making... 13 MIN READ