The Monetary Authority of Singapore (MAS) announced today that the first phase of its Veritas initiative – a framework for financial institutions to promote the responsible adoption of Artificial Intelligence and Data Analytics (AIDA) – will commence with the development of fairness metrics in credit risk scoring and customer marketing. The 25-member consortium will publish a white paper documenting the metrics and release an open-source code to enable financial institutions to adopt the fairness metrics in these two areas by the end of 2020.
A-Team Insight Briefs
Firms across the board are struggling to gain a comprehensive view of their counterparty risk. In the wake of the Credit Crisis, regulators have increased their focus on pushing firms to not only better understand risk exposure, but also be able to provide evidence of the analysis they use to create their view of risk....
Regulators around the world have taken a largely supportive approach to COVID-19, albeit with varying approaches. While some are in total lockdown, others are taking a more measured approach – but according to the word on the street, firms have been surprised by the ‘take-no-prisoners’ stance adopted by the UK’s Financial Conduct Authority (FCA). With...
Now in its 9th year, the Data Management Summit (DMS) in London explores how financial institutions are shifting from defensive to offensive data management strategies, to improve operational efficiency and revenue enhancing opportunities. We’ll be putting the business lens on data and deep diving into the data management capabilities needed to deliver on business outcomes.
The highly specialised realm of high frequency trading without doubt is a great driver for a range of high performance technologies that are becoming essential tools for Wall Street. More so than the now somewhat pedestrian algorithmic trading and analytics/pricing applications that are usually cited as the reason that HPC is hitting the financial markets,...