Technology
Scrutiny and frictions follow EMS vendors into fixed income
Aggregators are facing resistance from venues and attracting the attention of regulators
Machine learning in fraud analytics to combat financial crime – Getting it right
Risk and compliance professionals gathered for a Risk.net webinar in association with NICE Actimize to consider the challenges and opportunities of successfully harnessing artificial intelligence in the fight against financial criminals
How AI can automate model validation testing and continuous monitoring
As the business environment becomes more complex – and as regulatory scrutiny increases – it has never been more crucial for financial institutions to ensure their models are robust and fit for purpose.
Seamless integration – Drivers of and barriers to cloud adoption
Siarhei Niaborski, executive vice-president of risk at CompatibL, discusses the rate of cloud adoption in the capital markets industry and its possible drivers and barriers, how firms can derive maximum value from cloud usage and the criteria on which…
Successfully moving risk software to the cloud
Cloud technologies offer numerous benefits over traditional on-premise deployments. While the rate of adoption in the financial services industry was initially slow, banks and asset managers are now embracing these technologies and moving their…
Artificial intelligence – Genuinely unintelligent without high-quality data
For over 10 years, Refinitiv has transformed unstructured content into high-quality, machine-readable data because even the smallest error can cause artificial intelligence massive problems.
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…
Artificial intelligence – Genuinely unintelligent without high-quality data
For over 10 years, Refinitiv has transformed unstructured content into high-quality, machine-readable data because even the smallest error can cause artificial intelligence massive problems.
The advance of analytics
Machine learning is coming to analytics but there are hurdles to overcome first, says Aiman El‑Ramly, chief operations officer at ZE PowerGroup
Making technology count in a C/ETRM world
As businesses grow, so does their need for modern, agile and cost-effective commodity/energy trading risk management (C/ETRM) solutions. Pioneer Solutions explores how its next-generation, highly configurable C/ETRM systems take advantage of the latest…
The RPA revolution
Doug Wendler, chief executive of Machina Automation, explains the increasing popularity and uptake of robotic process automation (RPA), focusing on how it has recently evolved and how it is expected to continue this evolution, and whether RPA’s…
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
Portfolio traders turn to tech – A new generation of strategies
Chris Bruner, head of US credit product at Tradeweb, explores the products that can help managers express portfolio views and how they can maximise the benefits they can reap by evaluating and understanding the price, risk and relative value of each…
A layer above – Gauging cloud’s latest promise for financial services applications
Cloud technology’s presence is booming, though few firms are cloud-native and its adoption has mainly been incremental. IBM undertook a survey in association with Risk.net exploring themes such as firms’ general progress towards cloud transformation, in…
Blazing new analytical paths: Tackling data aggregation for new risk insights
As the risk function’s influence continues to grow within financial services firms, demand for quality integrated risk data to support a wider range of business-critical decisions is stretching the capabilities of existing technology to breaking point. A…
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…
