Money laundering
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…
Danske money laundering scandal leads to capital add-ons
The add-ons pushed Danske’s management to revise its target CET1 capital ratio higher
Danske admits ‘major deficiencies’ in money laundering case
CEO quits as bank publishes internal investigation into irregular operations at Estonian branch
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
Tackling fraud and money laundering violations in modern financial markets
The world of financial crime is evolving at a rapid pace. The tools and technologies used to aid crime are constantly developing, causing the nature of modern crimes to be unpredictable and difficult to detect
Banks explore new data techniques to tackle money laundering
Artificial intelligence in tandem with human analysis seen as effective for know-your-customer
Asia-Pacific banks grapple with conduct risk rules
Australia, Hong Kong regimes lead in developing conduct risk guidelines; Singapore lags behind