Abstract: A method for providing portfolio deviation analytics to facilitate collateral management is disclosed. The method includes retrieving trade data from a source based on a predetermined schedule, the trade data including transaction information and valuations information; retrieving reference data from a reference data hub; parsing the reference data to identify portfolios and corresponding parameters; identifying a deviation amount for each of the portfolios based on the corresponding trade data and the corresponding parameters; determining a resolution action for each of the portfolios based on the corresponding deviation amount; and automatically initiating the resolution action.

Abstract: A method for facilitating integrated computations in a microservice environment is disclosed. The method includes determining a list of profiles based on a generated global context, the list relating to an ordered representation of the profiles for calculating; loading data sets from various sources, each of the data sets including a context identifier; aggregating trade data from a trade capture listener to prepare for the calculating, the trade data including trade valuation data; retrieving position data for each of the profiles in the list, the position data including corresponding position valuation data; invoking computation devices for each of the profiles in the list based on a corresponding agreement type, the data sets, the trade data, and the position data; and notifying downstream applications based on the corresponding agreement type, the notification including an availability of a calculation result from the computation devices.

Abstract: A method for providing a canonical data model is disclosed. The method includes receiving, via a graphical user interface, requests to generate machine learning models, the requests including configuration data for the machine learning models; identifying the canonical data model that corresponds to the requested machine learning models, the canonical data model including various predetermined parameters; automatically mapping the configuration data to the various predetermined parameters; automatically generating the machine learning models based on a result of the mapping; and outputting the machine learning models in response to the requests.

Abstract: A method for providing portfolio deviation analytics to facilitate collateral management is disclosed. The method includes retrieving trade data from a source based on a predetermined schedule, the trade data including transaction information and valuations information; retrieving reference data from a reference data hub; parsing the reference data to identify portfolios and corresponding parameters; identifying a deviation amount for each of the portfolios based on the corresponding trade data and the corresponding parameters; determining a resolution action for each of the portfolios based on the corresponding deviation amount; and automatically initiating the resolution action.