We are witnessing a rapid development and adoption of algorithms. At the same time, we need to develop the monitoring and managing of their safety. In the algorithmic age companies are (and should be) increasingly concerned about potential harm that their systems can cause, both in terms of reputation and financially. Knight Capital’s experience (~$450m) caused by a glitch in its algorithmic trading system is a paradigmatic example. As such, in addition to societal, legislative and regulatory pressures, companies themselves are keen to assure their systems are trustworthy.1
1 MAR 2021CMS reviews key market developments in the banking sector
1 JAN 2021In this In Practice article the authors consider the difficulties of secured personal lending by fintechs and how the application of technology can mitigate risk without requiring security.
31 MAY 2024CMS reviews key market developments in the banking sector
1 OCT 2021CMS reviews key market developments in the banking sector
1 NOV 2021In this In Practice article Charles Kerrigan considers the effect of the fintech industry’s development on the topics of automation and standardisation in commercial lending transactions.
1 NOV 2021CMS reviews key market developments in the banking sector
1 DEC 2021