Banks
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…
JP Morgan’s Hudson: innovation stuck in trading web
Risk Live: Digital head floats shared platform, rather than “point solutions”
The operational risk disclosure practices of banks: evidence from India and Romania
This paper compares the levels of operational risk disclosure in the banking industries of India and Romania.
The Fed doesn’t like narrow banks, but asset managers do
Narrow banks would funnel cash to the Fed to get its rate – money managers are intrigued
RBNZ places country’s largest bank under scrutiny
ANZ must report on director oversight and capital levels
Asia moves: New CEOs at Credit Suisse and ANZ, Invesco gets new MD, and more
Latest job changes across the industry
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…
Lessons from a decade of top 10 op risks
Constants and changes in Risk.net’s annual rankings spotlight common gaps in op risk management
Getting risk models runway ready
Banks struggling with internal model requirements may soon opt for off-the-rack rather than bespoke
Financial firms toil to meet new EU rules on outsourcing
Negotiating right to audit vendors, including cloud providers, seen as toughest requirement
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…