Post-Trade
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Automation for cash and OTC derivatives
The Challenges
Fragmented technology landscapes are hampering the operational efficiency and adaptability needed to remain competitive.
Financial institutions are looking for agility to reduce the time-to-market for product or market expansions. At the same time, more flexibility and standardization are required to solve the operational efficiency challenge.
- Fragmented IT
- Legacy Technology
- Silos
- Lack of Standards
- Reconciliation Breaks
- Poor STP Rate
- Time-To-Market
- Cost Reduction
- Operational Risk
Our solution
Our state of the art solution enables rapid integration and standardization through out-of—the-box adapters, workflows and transformations. Further enrichments and validations improve the quality required for straight-through-processing. The Post-Trade runs real-time back-office processes as shared service for all asset classes. The user can monitor processing and quickly respond to exceptions for the trade life-cycle events.
Workflows
Configurable validations and adjustable best practice workflows for all trade life cycle events
Adapters
No / Low Code Configuration of interfaces and transformation into standardized ML data
Messaging
Best practice formats for supported asset classes and end-user driven document and message definitions
Processing
Support for shared back-office processes and maintenance of a fit-for-purpose static data repository
Reporting
Set of configurable reports and real-time dashboards for periodic reporting and exception monitoring
What we do differently
- Post-Trade is designed to enable rapid integration within a complex IT landscape
- Adapters configured by business teams, supporting multiple validation levels for full control on incoming data
- The static data repository can be extended on the fly as needed for maximized STP rates
- Scalable processing of high volume confirmations and settlements across asset classes
- Proven, best-in-class solution for management and generation of documents and messages
- Real-time monitoring and optimal control for efficient exception management
Benefits
- Quicker time-to-market
- Higher operational efficiency
- Rationalization of the technology landscape
- Lower operational risks
- Improved client satisfaction & retention
Database |
MS SQL Server
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Language used |
C#
HTML5
Python
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Operating system |
Windows 2012
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Pricing structure |
Subscription-based
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User interface |
Web
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