Fraud
New op risk taxonomy set for October debut
Project is being closely watched by banks and regulators amid frustrations with legacy Basel approach
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
Risk and finance – Better together
Changing regulations and new accounting standards are creating enormous challenges for financial organisations. Thorsten Hein, principal product marketing manager, risk research and quantitative solutions at SAS, explores why, to successfully meet these…
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…
Op risk data: Chinese regulators levy record fines
Also: top losses feature two frauds at Russia banks and AML provisions at Nordea. Data by ORX News
Q&A: Blockchain in commodities – a solution in search of a problem?
Competitors must work together if technology is to harness its potential, say three industry leaders
At EU banks, bad business practices led op risk losses
Misconduct trumped external fraud and process management failures
Top 10 op risks 2019: theft and fraud
Rogue employees are costly, but the thought of cyber mayhem dominates managers’ concerns
Top 10 operational risks for 2019
The biggest op risks for 2019, as chosen by industry practitioners
Data theft leads top 10 op risks survey for 2019
Fears of data breaches eclipse concerns over disabling cyber attack; IT failure and Brexit enter top 10
Execution issues dominate UK bank op risk losses
This category of risk accounted for 47% of op risk losses on average at five banks
Forex ‘Cartel’ not guilty but still paying a penalty
Despite acquittal, three former forex traders anticipate obstacles in trying to rebuild their careers
Top 10 operational risk losses of 2018
Mega-fraud at China’s Anbang pushes up total losses year on year; SocGen suffers double blow
Fed economists float new way to project op risk losses
Researchers suggest combining firm’s size with loss history to best predict losses under CCAR
Python – Is the buzz justified?
Python is rapidly becoming the world’s most popular programming language and its versatility and ease of use has enabled it to achieve widespread adoption in finance, becoming the multipurpose tool of choice for quantitative analysts and other financial…
Key South African rate ‘bears no relation’ to market
Jibar based on product that rarely traded during two-year period, says central bank official
Predictive fraud analytics: B-tests
In this paper, the authors look at B-tests: methods by which it is possible to identify internal fraud among employees and partners of the bank at an early stage.
Swift user break-ins a ‘repeat business’ for hackers
Cyber thieves have accessed the interbank messaging system through small, developing world banks
New statistical approach proposed to tackle internal fraud
Tests improve on methods to identify anomalous data created by fraudsters