To achieve long-term cost savings and greater operational control, a global investment bank initiated a project to migrate its trading operations from a third-party platform to its own proprietary risk management system
The key challenge was to migrate a large volume of live trades—across 40 different product types—without disrupting daily operations, all within a strict one-year timeline
The need to build new functionality for exotic instruments and coordinate with numerous stakeholders across/the bank’s front-to-back-office functions increased the complexity of the project
Our solution
Our team provided comprehensive support for the complex migration, acting as a dedicated partner from start to finish.
End-to-end project management: We provided complete project support through a managed service model, deploying our domain experts and technical resources directly onsite with the client
Dual migration strategy: Recognising the diverse complexity of the trades, our team implemented a two-pronged approach. We used an automated, scripted Straight Through Processing route for standard trades and a carefully managed manual process for the more complex exotics
Detailed business analysis: We conducted a thorough business analysis, preparing detailed Business Requirements Documents, Functional Specification Documents, managing user stories in Jira and defining all downstream data mapping requirements
Rigorous quality assurance: Our team implemented a robust Quality Assurance and User Acceptance Testing framework. This involved creating detailed test scenarios, developing automated scripts and managing the entire defect-fix and sign-off process
Centralised management of issues: To ensure a smooth transition, we established a centralised system to manage all post-migration issues, providing stability as the bank moved to its new target model
Client impact
Our team provided comprehensive support for the complex migration, acting as a dedicated partner from start to finish.
Successful on-time migration: We successfully migrated over 40,000 trades within the estimated one-year timeline. This included the complex rebooking of approximately 18,000 structured and exotic trades
Mitigated operational risk: Through our structured approach, expert oversight and automated testing, we significantly mitigated operational risk throughout the project. This freed up valuable bandwidth for the client’s internal teams
Foundation for future growth: The project concluded with the successful implementation of a new, robust target operating model, equipping the client with a scalable in-house system projected to deliver cost savings of approximately 60% annually