eBook
Model Risk Management Tooling at Scale: Excel, in-house or third-party?
Download this whitepaper to get a clear comparison of Excel, in-house, and third-party tooling across key model risk capabilities
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.
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Author
Jos Gheerardyn has built the first FinTech platform that uses AI for real-time model testing and validation on an enterprise-wide scale. A zealous proponent of model risk governance & strategy, Jos is on a mission to empower quants, risk managers and model validators with smarter tools to turn model risk into a business driver. Prior to his current role, he has been active in quantitative finance both as a manager and as an analyst.
