Rearchitecting and Simplifying Post-Trade Operations: Optimizing Efficiency with Cloud and Automation

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)
19 September 2018

Post-trade operations are coming under scrutiny for reducing costs and improving efficiency. Capital markets firms are looking to improve levels of automation and turning to cloud solutions to overcome operational challenges in a flexible and agile manner.

Key research questions

  • What are the challenges in post-trade operations?
  • How is cloud adoption helping overcome the challenges?
  • How can market participants improve automation in post-trade?


Legacy technology and siloed operations are the biggest challenges and hinder timely and efficient response to business and regulatory changes, and increase costs, risks, and inefficiencies.

Cloud offers low cost of testing and deployment and fast time to market, which help in responding to constant changes in a flexible and agile manner. Cloud is creating an ecosystem of innovative solutions with strong network effects that allows firms to easily adopt best-in-class solutions and integrate with internal systems.

Improving automation levels will require modernizing back office systems with new technology based on latest standards and frameworks, and simplifying the complex patchwork of systems accrued over the years. New technology such as robotic process automation (RPA) and AI can be important levers in the next phase of this journey.