Collaborative Research
Vendor Analysis: Moody’s Analytics - CLO Solutions, 2020
This Vendor Analysis is based on the Chartis quadrant report ‘Technology Solutions for Credit Risk 2.0: Credit Risk Analytics, 2020; Market Update and CVA/CLO Solutions Vendor Landscape’ (published in April 2020). This section summarizes the key theses…
Achieving Effective IFRS 17 Reporting
In this report, created in collaboration with Workiva, we focus on the challenges associated with IFRS 17 reporting, and consider solutions to those challenges from the perspectives of accounting policy and technology implementation. And in highlighting…
Calculating Return on Investment for Client Lifecycle Management Using the Fenergo Solution
Chartis Research and Fenergo have developed a focused return on investment (ROI) model for CLM, to determine how much value financial institutions (FIs) can hope to achieve from their CLM solutions. This report outlines the Chartis model, its methodology…
RiskTech100 2020 Winners' Review
This supplement to the main RiskTech100 ranking report highlights the achievements and innovations of many of the featured vendors, giving readers a glimpse into what makes them successful.
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…
Vendor Analysis: GBG: AML and Watchlist Monitoring Systems, 2019
This Vendor Analysis is based on the Chartis quadrant report Financial Crime Risk Management Systems: AML and Watchlist Monitoring; Market Update and Vendor Landscape, 2019 (published in March 2019).
The State of AI in Risk Management
Spotlighting collaborative research between Chartis and our research partner Tata Consultancy Services (TCS), the report analyses the adoption of AI tools by risk departments across financial services.
Beyond Detection: Driving Automation and Artificial Intelligence into Financial Crime Risk Management
This report examines AI and automation within the context of an FIU. It explores how these technologies can help in AML and trade surveillance, and offers practical advice on overcoming organizational and regulatory obstacles to their deployment.
