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 […]
A major European bank required an integrated trade monitoring system. Brickendon was brought in to design and build a new system to replace the existing tactical system, which had been found to be unstable and unreliable. Alongside this project, the client requested a strategy proposal for a revised monitoring operating model. This model would alleviate […]
Implementing RPA to a leading provider of Global Foreign Exchange Trading Systems allowed a quicker, more efficient and accurate onboarding process that accelerates the end-to-end client onboarding, mappings and permissions process by as much as 80 per cent.
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 a test automation project to a large European Investment Bank, ensured new changes did not affect the companies legacy system’s existing functionality, whilst increasing productivity and saving time.
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.