Collaborative Research
Chartis Risk Bulletin: The Technology Impacts of COVID-19 - Market Overview and Guidance
In this short report, Chartis research analysts present their view of the technology and system challenges that financial institutions (FIs) are likely to face in the coming weeks and months as the COVID-19 pandemic continues. Amid ongoing market…
Technology Solutions for Credit Risk 2.0: Credit Risk Analytics, 2020; Market Update and CVA/CLO Solutions Vendor Landscape
This report builds on the themes discussed in Technology Solutions for Credit Risk 2.0, 2018, published in May 2018. In that report we identified an emerging credit risk environment – which we call Credit Risk 2.0 – in which the banking book and default…
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.
Case Study: Loxon and MKB Bank
This report details the implementation of a risk rating/scoring solution by Loxon for MKB Bank, a universal bank based in Hungary.
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.
