Parallelized computation by a real-time transaction scoring system that incorporates global behavior profiling of transacting entities includes dividing a global profile computing component of a transaction scoring model of a real-time behavioral analytics transaction scoring system into a plurality of global profile component instances. The transaction scoring model uses a plurality of global profile variables, each of the plurality of global profile component instances using its own global profile partition that contains the estimate of global profile variables and being configured for update by a dedicated thread of execution of the real-time transaction scoring system, each dedicated thread being configured for receiving and scoring a portion of input transactions. The method further includes partitioning, based on one or more transaction routing shuffling algorithms, the input transactions for receipt across the plurality of global profile component instances, and updating each of the plurality of global profile partitions by the corresponding global profile component running in the dedicated thread according to the scoring algorithm.

Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

A method for payment authorization includes receiving, from a payer device registered with a payer identification merchant identification and transaction information transmitted to the payer device from a merchant device registered with the merchant identification and the payer identification. The method further includes deriving a transaction request from the payer identification and the transaction information; transmitting the transaction request to an acquirer system, receiving an authorization from the acquirer system for a transaction referred to by the transaction information and transmitting transaction approval codes for the transaction to the merchant device based upon the authorization.

Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for payment services are provided. One of the methods includes receiving, by a first server, a payment request from a second server, wherein the payment request carries an identifier of a third server and corresponds to a payment service to be executed by the third server; generating a service identifier according to the payment request and sending the service identifier to a purchasing terminal to enable the purchasing terminal to send a payment operation request carrying the service identifier to the third server; and sending the service identifier to the third server to cause the third server to create the payment service according to the service identifier.

An access management system includes a database configured to store access data including account identifiers and accessor identifiers, wherein the access data indicates particular accounts that have been accessed by particular accessors. The access management system also includes a computer system that receives a reservation request comprising an account identifier and an accessor identifier and determines whether the account identifier is included in the database. The computer system also determines, in response to the account identifier being present in the database, whether the access data correlates the account identifier to the accessor and authorizes the reservation of the one or more resources in the account by the accessor in response to the access data correlating the account identifier to the accessor.

Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

A method comprises receiving, by a computing device from a customer device, a request to provision a financial account for the customer, associating, by the computing device, a mobile device with the requested financial account, and sending, by the computing device to the mobile device, authentication information for the requested financial account. The method further includes receiving the authentication information by the computing device from a financial terminal that received the authentication information from the mobile device, receiving, by the computing device, first location information of the mobile device, and provisioning, by the computing device and based on the first location information of the mobile device being within a predetermined distance of a location of the financial terminal, the requested financial account for the customer.

Generation of dynamic electronic representations using modeling is described. Interaction data comprising attributes of one or more interactions between a user and the service provider or one or more third-party services integrated with the service provider is received. A model is executed to dynamically generate an electronic representation for a user profile based upon the interaction data, wherein the model is trained using attributes associated with a set of existing user profiles associated with the service provider and corresponding interaction data indicative of interaction data of the set of existing user profiles, and wherein the electronic representation is generated without input from the user. The electronic representation can be presented on an electronic device.