Jpmorgan Chase Bank, N.a.

Rajesh L Tolani

Rafal Sitkowski

Benjamin F Sylvester, Iii

Robert Mooney

Leonard Laufer

Matthew Yazdi

Michael B Solovay

Frank Van Hoof

Jeremy M Dobrick

John Tang

Jayant V Gokhale

Christine Duggan

James E Saber

David C Bertram

Fred Short

Julie Pun

Helen Altshuler

Michael Coleman

Shivraj Mundy

Dan Collins

Kamla Hatwar

Michael H Robertson

Ciaran A Kelly

Kirk Trivett

The invention relates to a computer-implemented system and method for providing data services to a user via a best fit data matching application programming interface (API). The method may comprise exposing to the user, via the API, data services that are available electronically to the user. The data services are invoked with a query comprising a set of parameters. An automated query processing service is used to automatically analyze the parameters and match the parameters to a best electronic data source among a plurality of electronic data sources using a metadata store. The step of matching the parameters to the best electronic data source is based on a data quality metric, a date range and user permissions. The retrieved dataset, which is automatically presented to the user electronically via the API, can also be customized to include client-specific data elements.

Generic entry and exit network interface system and method

Systems and methods for hierarchical dual-dynamic exception management are disclosed. In one embodiment, the system and method may provide: (1) hierarchical exception modelling, metric algorithms and aggregation; (2) node level exception metric algorithm and high-level status algorithm calculation; (3) node level investigation via 'explain' of exception factors (e.g., focusing an analyst on a particular issue); (4) node level tracking workflow management through ability to add commentary, multiple-person signoff, and high-level status calculation overrides; (5) visibility, auditable compliance reporting; (6) dashboard for internal operational analysts/managers with full investigation view; (7) dashboard for external clients with sub views; (8) generic data interface to existing workflow management system; and (9) machine learning component such that the exception metric can be intelligently re-adjusted (for example, if there are too many false positives then make the thresholds more forgiving). Other features and/or advantages may be provided as is necessary and/or desired.

Systems and methods for hierarchical dual-dynamic exception management

Technologies are disclosed for linking data from multiple market participants to generate a consolidated audit trail. In one implementation, a processing device receives, from a first market participant and with respect to a first transaction, first transaction information, the first transaction information including (a) an identity of a beneficiary of the first transaction and (b) one or more first transaction parameters associated with the first transaction, generates an audit trail with respect to the first transaction, the audit trail including the first transaction information, receives, from a second market participant and with respect to the first transaction, second transaction information, the second transaction information including one or more second transaction parameters associated with the first transaction, links the second transaction information with the audit trail, processes the second transaction information and the audit trail to identify a discrepancy; and initiates one or more first actions based on the discrepancy.

Linking data from multiple market participants to generate a consolidated audit trail

Growing community of inventors

Marlboro, NJ, United States of America

Rajesh L Tolani