This white paper investigates current custom software trends across the capital markets and how these firms can make the all-important business case for developing and deploying proprietary applications.
This white paper aims to help you make data-driven decisions with actionable insights to deliver the best possible customer experience. It further provides 4 tips for better engaging your customers.
The intent of this paper is to analyse how model risk management requirements change the banks’ view on their models, especially regarding the quantification of associated risks, and to introduce a new framework methodology.
This white paper explores the specific intentions, opportunities and concerns of banking leaders around the world regarding hybrid cloud adoption. It identifies alternative scenarios and provides a practical set of recommendations to accelerate and strengthen bank strategies for hybrid cloud.
This white paper explores how firms can satisfy regulators’ calls for interpretability, the sustainable advantages of setting up AI programs and why the often-overlooked route of an open-source code base could be key to maximising efficiency.
This short video offers key insights into the benefits that integrated, front-to-back office platforms provide. Key takeaways include: the buy side’s new challenges; asset class and data complexity; new functionality; and client expectations.
This special report focuses on data management challenges at investment banking and asset management firms—specifically the role chief data officers must play in overseeing complex, long-term data projects.
The purpose of this white paper is to learn how portfolio managers and traders perform the cost-benefit analysis when deciding between futures and ETFs for index replication.
This white paper aims to better understand how capital markets firms are using data to generate differentiated insights and empower better and faster decision making in the pursuit of alpha.
The Future of Risk Modelling: Taking the risk out of next-generation risk modeling − from data to decision
This white paper explores the complexities and risks inherent in pervasive adoption of risk modelling.