Intermediary System for Securities Lending Data Reconciliation
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Solution Overview
Problem
Conventional securities lending systems face inefficiencies due to rigid communication protocols, limited compatibility, and constraints imposed by regulatory authorities, which hinder seamless data management and reconciliation across participant systems.
Innovation Solution
An intermediary system and architecture that operates between users and their trading systems, providing transparent access to clearing and settlement systems, managing communication formats, and enhancing data services by translating user formats into standardized formats, thereby improving data tracking and reconciliation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rigid communication protocols and standardized formats are enforced by clearing systems, then data consistency and regulatory compliance are improved, but system flexibility and compatibility with diverse participant systems deteriorate
Solution Approach 1:
The patent introduces an intermediary system that sits between participant systems and clearing systems. This intermediary translates diverse participant communication formats into the standardized clearing system formats (NSCC UTC/DTC SAS), enabling both flexibility for different participants and consistency for the clearing system. The intermediary acts as a mediator that resolves the contradiction by absorbing format diversity on one side and presenting uniformity on the other side.
2Reliability
If conventional bilateral securities lending processes are used with settlement depositories, then regulatory compliance and operational control are improved, but infrastructure costs and operational complexity increase
Solution Approach 1:
The intermediary system provides universal functionality by supporting multiple communication formats and participant types through a single unified interface to the clearing system. Instead of each participant maintaining separate complex infrastructure, the intermediary handles all format translations and communication protocols, reducing overall infrastructure complexity while maintaining regulatory compliance through the standardized clearing system interface.
3Productivity
If clearing systems enforce strict communication formats, then data validation and processing efficiency at the clearing system are improved, but the burden on participant systems to reconcile and validate data increases
Solution Approach 1:
The intermediary performs preliminary action by translating and validating participant data formats before the data reaches the clearing system. This pre-processing step ensures that data is already in the correct format and validated when it arrives at the clearing system, eliminating the need for participant systems to perform complex reconciliation and validation operations themselves.
4Device complexity
If day-to-day clearing operations are tracked independently, then clearing system simplicity and operational clarity are improved, but the ability to track operations over time and maintain continuity deteriorates
Solution Approach 1:
The intermediary implements feedback mechanisms that continuously track clearing operations over time and provide feedback to participants about the status and history of their transactions. This enables time-based tracking and continuity monitoring while maintaining the simplicity of day-to-day clearing operations at the clearing system itself, as the intermediary handles the temporal dimension separately.
Data Source
AI summary
Various embodiments provide for an intermediary system and architecture that can operate under the communication constraints imposed by controller/clearance systems, and can also adapt respective data model and data services to accommodate functionality constraints. Further embodiments are configured to expand conventional functionality of the architecture, including enhancements to track user information beyond the operations provided by any clearing/controller system, and further manage a plurality of communication formats and/or architectures on behalf of a plurality of systems and communication standards, including custom messaging formats. Other embodiments are configured to resolve technical constraints of conventional approaches (e.g., infrastructure of overnight securities lending). Conventional data models are configured to capture information and reconcile on a day-to-day basis. This creates a vast gulf in tracking operations and managing data over a period greater than one day. New data architectures and data models are implemented to resolve this challenge.


