Driving inefficiencies and risks out of post-trade operations

FIS - Driving inefficiencies and risks out of post-trade operations

Post-trade operations are under pressure as settlement times continue to shorten, particularly with jurisdictions moving towards T+1 and eventually T+0 settlement cycles, and asset classes multiply. In a competitive, fast-changing market for securities-processing providers, especially with the rise of digital and tokenized assets, there is no room for costly operational inefficiencies, risks or errors.  

Today, fragmented legacy systems and manual processes hamper the efficiency and accuracy of operations, increasing not only daily overhead but also the risk of settlement failures. 

But agile post-trade operations can unlock the key to growth.  A modular, cloud-based architecture can prove vital for flexibility, turbocharge performance and deliver competitive edge in the market. However, firms do not have to rebuild operations all at once, they can opt to modernize incrementally in line with changing business needs. 

Real-time application programming interfaces and integration with distributed-ledger technologies facilitate seamless connectivity and rapid adaptation to market changes, including 24/7 trading. Modern front-, middle- and back-office systems are essential for achieving operational excellence in this new age of securities processing where the highest levels of efficiency must meet powerful technology to keep pace with the market’s demands. 

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SaaS and the evolution of cloud-based data management

In this white paper, we provide an overview of the evolution of cloud-based technology in the data management space; we assess the benefits of the most commonly used deployment models; we set out our own vision for the future based on a software-as-a-service (SaaS) model; and we explain the journey we are on to deliver increased value for our clients, including the end business user.

SaaS and the evolution of cloud-based data management

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