While few RegTech solution providers are rolling up their sleeves for SFTR in the early stages, many financial institutions still struggle on the data enrichment and business rules validation on SFTR reporting obligation until successfully executing User Acceptance Testing scenarios.
This webinar will discuss about those growing SFTR implementation challenges, data & report lifecycle and improving data quality on SFT Reporting Institutions.
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Editor's Notes
End to End automation:
SFT’s are traded in heterogenous markets and therefore capturing trade data like LEI is going to be a great challenge. SETREGA is a complete regulatory reporting platform for cross-asset, multi-jurisdictional trade reporting. SETREGA offers a one stop solution to support reporting across all asset classes, which includes collateral valuation and collateral reuse reporting to the trade repositories.
UTI Pairing
Like EMIR, SFTR is a dual-side reporting regulation that requires UTI matching of all reportable trades.
Real time processing-
Designed to easily translate transaction data to industry formats, pre-reporting eligibility rules engine that allows firms to perform eligibility check along with full traceability
enrich data using various reference data sources, identify errors & missing data elements before submission to the TR
Reconciliation
Firms obligated to complete SFTR reporting should expect a large volume of initial transaction matching reconciliation breaks (similar to the trend that occurred in the EMIR rollout). As was also consistent with EMIR, these breaks are expected to decrease over time as the regulation matures. However, in preparation for this, an end-to-end reporting solution should have functionality to minimize time spent on correction and resubmission. A reporting solution should assist with the reconciliation process by providing in-application flexibility and efficiency to handle and correct breaks. It should handle this without technical intervention (where possible) to allow the business operational team to fix breaks, resolve mismatching, and swiftly resubmit. A configurable rule set will allow users to handle issues initially and then add validations to ensure they do not occur again in the future. Another aspect that will help create reconciliation efficiency in a solution is to maintain detailed data error handling and transaction history logging during the reconciliation process. This will allow users to follow a transaction through to origination and ultimately identify the root cause of the break or put a resolution in place upstream to prevent the issue in the future. ensure accurate reporting Pre-reporting & Post-reporting by comparing TR data vs. Internal data
Tracing the trade data through out the entire lifecycle itself is making huge toll on the time & resources.
Delegated Reporting
Making integration with the Submitter seamless.
Dashboard
SFTR is an ideal opportunity to consolidate the process of Data management.There is a strong case for improve a firm’s data management capabilities because of the sheer volume mandated by ESMA.Firms are to report their daily transactions, including all lifecycle events like Collateral valuation, Collateral reuse statistics.Data driven intelligence should pave way for more business intelligence & risk management.
End to End automation:
SFT’s are traded in heterogenous markets and therefore capturing trade data like LEI is going to be a great challenge. SETREGA is a complete regulatory reporting platform for cross-asset, multi-jurisdictional trade reporting. SETREGA offers a one stop solution to support reporting across all asset classes, which includes collateral valuation and collateral reuse reporting to the trade repositories.
UTI Pairing
Like EMIR, SFTR is a dual-side reporting regulation that requires UTI matching of all reportable trades.
Real time processing-
Designed to easily translate transaction data to industry formats, pre-reporting eligibility rules engine that allows firms to perform eligibility check along with full traceability
enrich data using various reference data sources, identify errors & missing data elements before submission to the TR
Reconciliation
Firms obligated to complete SFTR reporting should expect a large volume of initial transaction matching reconciliation breaks (similar to the trend that occurred in the EMIR rollout). As was also consistent with EMIR, these breaks are expected to decrease over time as the regulation matures. However, in preparation for this, an end-to-end reporting solution should have functionality to minimize time spent on correction and resubmission. A reporting solution should assist with the reconciliation process by providing in-application flexibility and efficiency to handle and correct breaks. It should handle this without technical intervention (where possible) to allow the business operational team to fix breaks, resolve mismatching, and swiftly resubmit. A configurable rule set will allow users to handle issues initially and then add validations to ensure they do not occur again in the future. Another aspect that will help create reconciliation efficiency in a solution is to maintain detailed data error handling and transaction history logging during the reconciliation process. This will allow users to follow a transaction through to origination and ultimately identify the root cause of the break or put a resolution in place upstream to prevent the issue in the future. ensure accurate reporting Pre-reporting & Post-reporting by comparing TR data vs. Internal data
Tracing the trade data through out the entire lifecycle itself is making huge toll on the time & resources.
Delegated Reporting
Making integration with the Submitter seamless.
Dashboard
SFTR is an ideal opportunity to consolidate the process of Data management.There is a strong case for improve a firm’s data management capabilities because of the sheer volume mandated by ESMA.Firms are to report their daily transactions, including all lifecycle events like Collateral valuation, Collateral reuse statistics.Data driven intelligence should pave way for more business intelligence & risk management.