Money laundering
A risk-based approach to AML and financial crime risk in Asia‑Pacific
Financial institutions across Asia‑Pacific are grappling with fast-changing risks and digital transformation in their efforts against money launderers and financial criminals. Risk.net hosted a webinar in association with NICE Actimize to discuss the…
Driving anti-money laundering efficiency gains using artificial intelligence
Anti-money laundering (AML) is expensive and labour-intensive, and artificial intelligence (AI) can offer improved efficiency gains. Could they be a match made in heaven? This Risk.net webinar, in association with NICE Actimize, took place amid the…
Risk Technology Awards 2020 – Coping with Covid uncertainty
Scenarios scrapped, rules revised and holes plugged – how the winners of the Risk Technology Awards 2020 are adjusting to the Covid‑19 pandemic
Top 10 operational risk losses of 2019
Fraud, embezzlement, tax evasion, subprime (still) and rogue trading – and Citi crops up twice. Data by ORX News
NY Fed’s Stiroh: ‘More work to be done’ on bank culture
Supervision chief warns on new risks from machine learning bias
Asia lenders usher in year of the virtual bank
The surge in online banking is informing risk technologies in traditional banks
Deploying agile analytics in the fight against fraud
Financial firms are under pressure to tackle the widespread problem of financial fraud. As the speed, scale and sophistication of fraudulent activity grows, a panel of financial crime experts reveal how firms can develop an agile analytics capability to…
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…
New applications in Asia’s financial crime analytics
Financial crime is a fast-growing problem for Asia‑Pacific financial services firms. Working with outmoded systems and patched-up processes to detect, monitor and eliminate potential threats, banks are spending millions on sophisticated new solutions to…
Apac banks call for regulatory push on AML tech
“Regulators have got to stop being okay with how things currently are,” says financial crime head
Making machine learning work for AML
Banks’ anti-money laundering teams are starting to utilise machine learning to combat financial criminals. Risk hosted a webinar in association with NICE Actimize to explore whether these bots can be trusted
FCA steps up anti-money laundering spot checks
UK watchdog changes fincrime head amid speculation AML spot visits increasing because of critical FATF review
Top 10 operational risks for 2019
The biggest op risks for 2019, as chosen by industry practitioners
Top 10 op risks 2019: regulatory risk
Money laundering and threats to personal data have regulators spooked
Top 10 operational risk losses of 2018
Mega-fraud at China’s Anbang pushes up total losses year on year; SocGen suffers double blow
Taking the lead on financial crime regulatory compliance
Increased scrutiny of anti-money laundering and customer due-diligence procedures means banks must create more efficient and effective systems. A recent webinar conducted by Risk.net and IBM discussed how leading banks are utilising artificial…