Technology

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…

Model risk management transformation

Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…

Tech innovation in securities trade processing

Ramprasad Sandilya, vice-president of strategic solutions at Broadridge, discusses the challenges facing clients in securities trade processing and the firm’s four-point plan for future technological innovation.

A helping hand – Addressing industry concerns

The Basel Committee on Banking Supervision’s final revisions to the FRTB guidelines aim to address industry concerns around complexity and capital implications. A forum of industry leaders discusses whether the changes have been effective and how banks…

Turning the IMA into a competitive advantage

Following the clarification of the FRTB rules in January 2019, financial institutions are now working towards a 2022 implementation deadline, finalising how their trading books will operate under this demanding regulation. Eoin Ó Ceallacháin, head of…

Check mates – AI and the future of KYC

Financial crime prevention is an increasingly complex task for financial services firms. Criminal activities such as money laundering and fraud have rocketed, and the perpetrators are getting smarter. Amid tightening regulation and the threat of…

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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