Jpmorgan Chase Bank, N.a.

Elizabeth Polanco Aquino

Samer Falah

Suresh Shetty

Leticia Pui Sze Lim

Luciane Sant'Anna

Tulasi Movva

Sudhir Upadhyay

Tiffany Ashley Wan

John Corwin Hunter

Palka S Patel

Naveen Mallela

Sai Murali Krishna Valiveti

Lawrence Charles Drake

David Voell

Vahram Avagyan

William J Lee

Jonathan C Hallam

Gavin Lonsdale

The invention relates to creating a secure, decentralized, cloud-based network or physical/virtual infrastructure that enables the payments industry to redefine payment processing and information sharing. The innovative network addresses key pain points by reducing payment delays and touch points, realizing faster and comprehensive payment tracking, real-time sanctions, AML and fraud management tools.

System and method for implementing an interbank information network

Systems and methods for the application of distributed ledgers for network payments as financial exchange settlement and reconciliation are disclosed. In one embodiment, a method for processing network payments using a distributed ledger may include: (1) a payment originator initiating a payment instruction to a payment beneficiary; (2) a payment originator bank posting and committing the payment instruction to a distributed ledger on a peer-to-peer network; (3) the payment beneficiary bank posting and committing the payment instruction to the distributed ledger on a peer-to-peer network; and (4) the payment originator bank validating and processing the payment through a payment originator bank internal system and debiting an originator account.

Systems and methods for the application of distributed ledgers for network payments as financial exchange settlement and reconciliation

In certain embodiments, a computer-implemented method includes determining, by a processor, characteristics of a new transaction and processing, by the processor, the characteristics of the new transaction using a risk assessment model. The risk assessment model is generated using an iterative training process that processes, over time, historical transactions to train the risk assessment model based on characteristics of historical transactions and associated risk assessment analysis of the historical transactions. The method includes generating, by the processor, a risk assessment indicator for the new transaction based on processing the characteristics of the new transaction using the risk assessment model. The risk assessment indicator indicates a degree of risk of the new transaction.

Identifying potentially risky transactions

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Brooklyn, NY, United States of America

Elizabeth Polanco Aquino