Model risk management
Model Risk Management: Validation Services and Tools, and Governance Solutions, 2023; Market and Vendor Landscape
This report analyzes the MRM vendor landscape, using quadrants that cover both validation and governance solutions. Contains three RiskTech Quadrants®.
Spotlight on GRC+ : The Chartis view of GRC
This report summarizes Chartis' revised approach to GRC, ‘GRC+’ : a comprehensive view that reflects the subject's maturation into a more complex and fully integrated discipline.
GRC+ : Enabling the future of governance, risk management and compliance
This collaborative report from Chartis and MetricStream tracks the evolution of GRC and discusses its new, extended worldview.
Spotlight on Model Risk Management
A primer outlining Chartis' evolving approach to model risk research, which combines model risk governance and model validation, reflecting the convergence of the two disciplines in the marketplace.
Vendor Analysis: TCS - GRC Solutions, 2021
This Vendor Analysis is based on the Chartis quadrant report 'GRC Solutions, 2021: Market Update and Vendor Landscape' (published in May 2021). It summarizes the key theses in that report and takes a detailed look at TCS’s quadrant positioning and…
Vendor Analysis: SAS; Model Risk Management Solutions, 2021
This Vendor Analysis is based on the Chartis quadrant report ‘GRC Solutions, 2021: Market Update and Vendor Landscape’ (published in May 2021).
GRC Solutions, 2021: Market Update and Vendor Landscape
This report contains Chartis’ updated view of the market and vendor landscape for governance, risk and compliance (GRC) solutions. Contains 8 RiskTech Quadrants.
More Than Just Policy: Effective Model Risk Management in a New Age
This report – a collaborative publication from Chartis and ClusterSeven – examines a crucial period of activity for MRM users and sellers. It considers what MRM now means in a post-IFRS 9/CECL world, and how FIs can develop effective MRM solutions in…
Is more data, and less math, a good thing in modern models?
Now that Big Data is mainstream, model developers face an epistemic trade-off: enable models to make more accurate predictions by loosening traditional statistical methodologies. But what impact might this have on the future accountability of our…
Breaking the glass box: achieving ‘explainability’ that actually explains
Tied to the growing popularity of machine learning (ML) tools is the need to explain their underlying rationale. But buzzwords, like ‘glass box’, are steering the explainability conversation off course. Meanwhile, without proper investment in the tech…
Model Validation Solutions, 2019
In analyzing model validation solutions and technology, the main themes are diversity, specificity and maturity.