Model Risk Management Tooling at Scale: Excel, in-house or Third-party?
Choosing the right Model Risk management tooling
Banks today operate dozens to hundreds of models, each subject to growing regulatory scrutiny and evolving supervisory expectations. As model portfolios expand, the way model risk management is supported becomes critical. Tooling decisions directly affect consistency, auditability, scalability, and long-term sustainability.
This white paper explores the trade-offs between Excel-based approaches, internally built solutions, and third-party platforms for managing model risk at scale.
This eBook gives you:
- A clear comparison of Excel, in-house, and third-party tooling across key model risk capabilities
- Insight into how each approach performs on regulatory alignment, auditability, continuity risk
- An overview of implementation effort, ongoing maintenance, and total cost over time
- Practical perspectives on scaling model risk management as requirements evolve
- Guidance on choosing tooling that can adapt to new model types, including AI
Download the eBook now and start mastering your model risk management.
About the
Author(s)
Jos Gheerardyn is the co-founder and Chief Executive Officer (CEO) of Yields. Prior to his current role, he worked as both a manager and an analyst in the field of quantitative finance. With nearly 20 years of experience, he has worked with leading international investment banks and start-up companies. Jos is the author of multiple patents that apply quantitative risk management techniques to the energy balancing market. Jos holds a PhD in superstring theory from the University of Leuven.
