The Future of Payments, Settlements & Trading Systems
Various features of the blockchain and the underlying distributed ledger technology (DLT) make it ideally suited for use in any kind of transfer system whether it be payments, trading or lending.
Various features of the blockchain and the underlying distributed ledger technology (DLT) make it ideally suited for use in any kind of transfer system whether it be payments, trading or lending.
Decentralised ledger technology (DLT) has immediate applications in the context of fraud prevention and security as it provides financial institutions with the ability to maintain a centralised ledger of transactions
Over the past decade, the financial industry has begun to embrace a series of innovations that have the potential to dramatically change the nature of the business in the future.
A large global bank was in the process of replacing its legacy FX Front Office system (Kondor+ and a related bespoke application) as part of an overhaul of its FX business when it became apparent that the new system (Murex) would not adequately support its manual quoting/dialog pricing requirements. Brickendon was engaged by the client to […]
Combine development and operations in an agile way to reduce time-to-market, lower costs and improve quality.
Reduce testing cycles, operational and business risks and overall costs, whilst ensuring faster time-to-market and early detection of defects.
Tailor programmes to transform business’s using the latest data analytics advisory, automation and programme delivery techniques.
A prominent European Bank gained increased levels of risk transparency, reporting metrics and customer visibility through a clear future-proof OTC FX Clearing Implementation strategy.
Creating a scalable eFX Trading Platform ensured a Corporate Banking Business met the streamlined architectural and IT support goals, supported its current business, and could be enhanced more easily for future growth.
Implementing trading algorithms to a large European Bank which incorporated its systematic trading models, client profiling and rules-based risk management, enabled trading to be done more proactively and efficiently that lead to lower running costs.