Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.