Abstract: There are provided methods and systems for retrieval and management of target information in one or more files. For example, there is provided a system that includes a processor and memory including instructions which, when executed by the processor, can cause the processor to perform certain operations. The operations can include receiving a file and categorizing the file into one or more components. The operations can further include extracting a machine-readable arrangement from the one or more components and detecting target information from the machine-readable arrangement. Further, the operations can include modifying the target information and assembling an output file including the modified target information.

Abstract: Systems and methods for determining performance-based pricing are disclosed. A method may include: creating a borrower entry based on borrower loans for a borrower and a borrower rating; polling a plurality of rating agencies for agency borrower ratings; receiving agency borrower ratings from the plurality of rating agencies; determining that one of the agency borrower ratings has changed from a previous agency borrower rating; predicting, using a machine learning engine that is trained with historic agency rating changes, a recommended change to a pricing grid for the borrower based on the change in the agency borrower rating; updating the pricing grid for the borrower based on the recommendation; and providing the updated pricing grid to a loan platform. The loan platform is configured to implement the pricing grid, and the implementation of the pricing grid changes a payment for at least one of the plurality of borrower loans.

Abstract: Systems and methods for processing peer-to-peer financial product markup language agency notices are disclosed. According to one embodiment, in an information processing apparatus, a computer-implemented method for processing peer-to-peer financial product markup language agency notices may include: (1) receiving a FpML notice from a sender to a receiver; (2) obtaining a sender unique identifier for the sender and a receiver unique identifier for the receiver; (3) generating a FpML message body for a transaction associated with the notice; (4) generating FpML data comprising the unique identifiers and the FpML message body; (5) generating an electronic message comprising the FpML data; and (6) sending the electronic message FpML data to the receiver.

Abstract: A method and a system for providing a framework of configurable components, services, and modules that are reusable for construction of complex workflow applications in order to reduce volume and redundancy in manual coding requirements are provided. The method includes: receiving user criteria that relate to a task to be performed by executing the application to be constructed; analyzing each of the criteria; identifying, based on a result of the analysis, component software modules that are usable for satisfying some of the criteria; and transmitting information that relates to constructing the application by using the identified component software modules to the user.

Abstract: Systems and methods for processing peer-to-peer financial product markup language agency notices are disclosed. According to one embodiment, in an information processing apparatus, a computer-implemented method for processing peer-to-peer financial product markup language agency notices may include: (1) receiving a FpML notice from a sender to a receiver; (2) obtaining a sender unique identifier for the sender and a receiver unique identifier for the receiver; (3) generating a FpML message body for a transaction associated with the notice; (4) generating FpML data comprising the unique identifiers and the FpML message body; (5) generating an electronic message comprising the FpML data; and (6) sending the electronic message FpML data to the receiver.

Abstract: Systems and methods for processing peer-to-peer financial product markup language agency notices are disclosed. According to one embodiment, in an information processing apparatus, a computer-implemented method for processing peer-to-peer financial product markup language agency notices may include: (1) receiving a FpML notice from a sender to a receiver; (2) obtaining a sender unique identifier for the sender and a receiver unique identifier for the receiver; (3) generating a FpML message body for a transaction associated with the notice; (4) generating FpML data comprising the unique identifiers and the FpML message body; (5) generating an electronic message comprising the FpML data; and (6) sending the electronic message FpML data to the receiver.

Abstract: Systems and methods for processing peer-to-peer financial product markup language agency notices are disclosed. According to one embodiment, in an information processing apparatus, a computer-implemented method for processing peer-to-peer financial product markup language agency notices may include: (1) receiving a FpML notice from a sender to a receiver; (2) obtaining a sender unique identifier for the sender and a receiver unique identifier for the receiver; (3) generating a FpML message body for a transaction associated with the notice; (4) generating FpML data comprising the unique identifiers and the FpML message body; (5) generating an electronic message comprising the FpML data; and (6) sending the electronic message FpML data to the receiver.

Abstract: Systems and methods for processing peer-to-peer financial product markup language agency notices are disclosed. According to one embodiment, in an information processing apparatus, a computer-implemented method for processing peer-to-peer financial product markup language agency notices may include: (1) receiving a FpML notice from a sender to a receiver; (2) obtaining a sender unique identifier for the sender and a receiver unique identifier for the receiver; (3) generating a FpML message body for a transaction associated with the notice; (4) generating FpML data comprising the unique identifiers and the FpML message body; (5) generating an electronic message comprising the FpML data; and (6) sending the electronic message FpML data to the receiver.

Abstract: A method and system for managing and executing business formulas using a single platform includes a storage function for storing a plurality of business formulas in a single repository, where each business formula is defined using multi-dimensional data. The multi-dimensional data is accessible by employee-users of the business through a server communicatively connected to the repository. The employee-user may alter the multi-dimensional data of a business formula to incorporate modifications, as well as to create new business formulas. The server functions to execute business formulas contained within the repository. By allowing employee-users to modify existing business formulas and to input new business formulas directly into the system without requiring a programmer to write new software code, the efficiency of executing business formulas and implementing modifications is increased.

Abstract: A system and method for performing Value at Risk (VaR) analysis at a large volume scale. The system employs two basic types of elements in its architecture: controllers and brokers. Controllers are engines that perform actual processing of data, while brokers manage the access to and from the data resources. Controllers of the present invention have three main components, an input queue, a manager and workers. The controllers retrieve units of work from the incoming queue, process the units, and place the result onto an outgoing queue. The outgoing queue of one controller is shared with the next element in the processing chain. Brokers are responsible for maintaining pool of common resources and providing access to those resources to a requestor (i.e., a controller). In the preferred embodiment, the resource is a data source, such as a database containing market pricing data. The broker accesses the data source though an adapter.