OTC Derivatives STP

Improve Straight-through Processing (STP) Rates and Reduce Operational Risks and Costs

As the volume and complexity of traded over-the-counter (OTC) derivatives increases, you may be experiencing project delays and increased costs for post-trade processing due to the current paper-intensive environment. Regulatory pressures, Federal Reserve commitments, and increased counterparty risks require you to streamline middle and back office processes. Furthermore, improving straight-through processing (STP) rates means efficiently managing diverse and constantly changing data models for FpML, DTCC Deriv/SERV, Markit Wire and SWIFTNet FpML.

Data Interoperability Tools with Pre-built and Maintained FpML Libraries

The Progress OTC Derivatives STP solution powered by our data interoperability products significantly reduces operational risks and costs by providing financial messaging data interoperability tools with pre-built and maintained FpML libraries. You will enjoy more efficient FpML development and maintenance processes. That means your teams will be able to focus on new strategic projects and customer satisfaction and retention initiatives rather than wasting time on continual message management and maintenance.

Progress' OTC Derivatives STP Solution will enable your organization to: 

  • Complete messaging projects on schedule. Using model-driven tools and pre-built FpML data models, your team eliminates the inefficiencies of hand-coding FpML messages, validation rules and test cases.

  • Streamline FpML updates. As FpML formats change frequently, a technology investment today brings significant savings with each new release. By in-sourcing FpML updates from Progress, change management is simplified.

  • Reduce risks and costs associated with failed transactions. With higher rates of automation and vastly improved data quality, errors are reduced along with the associated repair costs, leading to reductions in operational risk and reputation risk.

  • Create a common framework for FpML data model management. Companies gain further efficiencies by standardizing on a department or company-wide data model.

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