Abstract

On the surface, the process landscape for fixed income securities trading within most banks has changed only slightly in the past four decades. The value chain remains divided amongst front-, middle-, and back office, with IT in support. Front office negotiates deals with customers and other banks, middle office manages risks and reporting, and back office ensures that payments are made in exchange for a transfer of the bonds that have been traded. Though these processes have gradually migrated to electronic mediums, much of the work in all functional areas remains manual. But the advent of digital technologies, primarily process automation software and data integration in an open software architecture, allows banks to dramatically change how the processes along the value chain are carried out. Repetitive and predictable tasks can be performed by automated software, allowing humans to concentrate on complex activities that require flexibility and discretion. Those tasks that remain in the hands of humans can also be made more efficient by extracting data from software applications along the entire process chain and providing them to the human user at the right point in time in the right system.

Highlights

  • The past decade-plus since the 2008 financial crisis has been a difficult period for banks, and perhaps nowhere more so than in Europe

  • Research for the paper was conducted by interviewing functional experts from a European bank and experts from an IT service provider regarding the process landscape for bond trading and the technologies that are available for reshaping this landscape

  • Beyond answering the research questions directly, the qualitative opinions provided by the experts in the interviews that were conducted allow for the definition of a roadmap for how a bank should go about digitalizing its software applications, in order to optimize its bond trading business

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Summary

Introduction

The past decade-plus since the 2008 financial crisis has been a difficult period for banks, and perhaps nowhere more so than in Europe. This research paper will examine the existing process landscape for European banks that trade fixed income securities on a proprietary basis, and it will analyze the potential impact of technologies such as machine learning, automated software, and data integration on this process landscape.

Results
Conclusion

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