SAS

Credit risk & modelling – Special report 2021

This Risk special report provides an insight on the challenges facing banks in measuring and mitigating credit risk in the current environment, and the strategies they are deploying to adapt to a more stringent regulatory approach.

Stress-testing amid Covid‑19

The Covid‑19 pandemic has proved to be a real-life stress test for the banking sector as firms adjust to new ways of working. Here, SAS explores how the pandemic has magnified the importance of stress-testing, scenario analysis and contingency planning…

Next steps for MRM in South‑east Asia

Financial institutions across South‑east Asia face challenges assessing and measuring non-financial risks inherent in their business models, and are therefore concerned about regulatory scrutiny, transparency and the use of models within their businesses…

The impact of climate change on banks

Over the past few years, concern and public discussion around environmental damage and climate change – and their social impacts – have increased dramatically. Peter Plochan, principal risk management advisor at SAS, discusses some key ideas to allow…

Chartis RiskTech100 2020 – SAS

Taking the number five spot in the Chartis Research RiskTech100 2020 rankings, SAS also won three category awards – for IFRS 9, model risk management, and risk & finance integration. 

Banks seek new value for their efforts

As regulatory stress tests evolve and a new age of stress-testing approaches, firms are looking to maximise value by making the most of scenario-based analytics. John Voigt, principal solutions manager at SAS, explores the importance to institutions of…

A tech-driven transformation

A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…

Risk and finance – Better together

Changing regulations and new accounting standards are creating enormous challenges for financial organisations. Thorsten Hein, principal product marketing manager, risk research and quantitative solutions at SAS, explores why, to successfully meet these…

Machine learning governance

The ability of machine learning models to read great quantities of unstructured data, spot patterns and translate it into actionable information is driving a significant uptake in the technology. David Asermely, SAS MRM global lead, highlights the need…

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