Abstract: A method for detecting fraudulent transactions includes generation of a graph including a plurality of nodes and a plurality edges between the plurality of nodes based on historical transaction data of a plurality of historical transactions. The plurality of nodes include a set of merchant nodes and a set of consumer nodes. A set of static features and a plurality of dynamic features are determined based on the historical transaction data and the generated graph, respectively. A neural network is trained based on the set of static features and the plurality of dynamic features for detection of transaction fraud. The neural network is used to detect a first transaction as one of a fraudulent transaction or a legitimate transaction based on first transaction data of the first transaction.

Abstract: A system and method for implementing a fast payment is described. A request to execute a payout to a payee account is received, where the request includes information about the payout. At least one payment rail available for the requested payout is determined from a plurality of payment rails based on the included information. Rules associated with each of the at least one payment rail are identified. A fastest payment rail is determined from the at least one payment rail for executing the payout based on the identified rules and the information about the payout. The payout is then executed over the determined fastest payment rail.

Abstract: Disclosed are methods and systems for provisioning payment card credentials to an Internet of Things (IoT) device that is associated with a companion application. In an embodiment, a mobile device processor displays a companion application user interface (UI) on a display screen, receives a user selection of an option to obtain payment card credentials from the companion application UI, displays a prompt for the user to provide user authentication data to the companion application, receives the user authentication data from a biometric sensor, and authenticates the user.

Abstract: Described are systems and methods for outlier detection and transaction monitoring. This may include collecting corporate data, determining features, detecting relevant features, determining a system model, determining a control policy, monitoring incoming transactions, determining if an outlier alert should be sent, transmitting the outlier alert, receiving user adjudication of the fraud alerts, and feedback of the adjudication. The systems and methods may use aspects of fuzzy logic, predictive modeling, network and community detection, outlier detection, and fuzzy aggregation.

Abstract: Provided are methods that include determining a set of transaction related actions for an agent, selecting a first transaction related action from the set of transaction related actions for the agent based on a plurality of features associated with the agent, generating transaction data associated with a fraudulent transaction based on the first transaction related action, generating a feature vector, the feature vector including transaction data associated with the fraudulent transaction, providing the feature vector as an input to a fraud detection machine learning model. Methods may also include determining an output of the fraud detection machine learning model based on the feature vector as the input, and generating a fraudulent reward parameter for the first transaction related action based on the output of the fraud detection machine learning model. Systems and computer program products are also provided.

Abstract: A system for determining a fraud risk score associated with a transaction. The system includes a server including an electronic processor. The electronic processor is configured to determine a plurality of rules based on a plurality of transactions over time and extract one or more features of the transaction. The electronic processor is also configured to select, based on the plurality of rules, a plurality of fraud risk features Each non-categorical fraud risk feature selected is associated with a fraud risk feature value and each categorical fraud risk feature selected is associated with a categorical variable value. The electronic processor is configured to determine, for each categorical fraud risk feature, a fraud risk feature value. The electronic processor is also configured to determine the fraud risk score based on the one or more of the transformed fraud risk feature values.

Abstract: Systems are provided for compressing portfolios of open option positions. Market participants may provide constraints, such as net delta and gamma values within a specific tolerance. A compression engine uses a linear, integer and/or linear-quadratic programming solver to analyze portfolios of multiple market participants and identify multilateral option spread trades that result in portfolios that are compressed subject to the constraints.

Abstract: A method for execution by a marketplace server includes detecting fraudulent acquisition of an exchange item by a first computing device, where the exchange item has a static identifier (ID) and a dynamic ID that is generated based on exchange item security parameters associated with the exchange item. The method further includes deactivating the dynamic ID and the exchange item security parameters in response to the detecting fraudulent acquisition, where the static ID of the exchange item remains active and valid. The method further includes generating second exchange item security parameters for the exchange item. The method further includes generating a second dynamic ID based on the second exchange item security parameters, where the second dynamic ID establishes the exchange item for utilization in an exchange item marketplace network. The method further includes updating a record in a marketplace database to include the second dynamic ID.

Abstract: A system for interfacing with a decisioning service from a third-party domain. A backend system may receive a request to interface with the decisioning service to generate a prequalification result for a user for a specified product, in response to the actuation of a button included in a third-party web domain rendering a product. The backend system may execute a call on a website of the decisioning service. The backend system may receive the product information from the button. The backend system may generate the website within the third-party domain, including a request for information about the user, in response to executing the call to the website. The backend system may transmit a request for generating prequalification result for the product to the decisioning service. The backend system may receive the prequalification result from the decisioning service.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for integrating immediate credit application processes and decisions via a financial institution into ongoing transactions performed at a merchant system. One example method includes receiving a request for new credit account associated with an ongoing transaction at a second system, the request associated with a transaction payload including a session ID and a set of transaction information. A digital credit application is presented, and at least some of the set of transaction information is presented concurrently with the digital credit application. In response to approving the credit application, a new account is generated, a user is redirected back to the merchant system using the session ID, and the credit account information is securely transmitted back to the merchant. The state of the ongoing transaction is restored, and the new payment information is used to complete the transaction.

Abstract: Systems, methods, and apparatuses for implementing user customizable risk management tools with statistical modeling and a recommendation engine within a computing environment are provided. A system may include, for example, means for evaluating the performance of a user rule for fraud prevention, in which the system receives a plurality of purchase transactions for the user; analyzes each purchase transaction received to generate a fraud likelihood score; receives the rule that specifies conditions when the system is to accept or reject transactions regardless of the fraud likelihood score generated by the system; transmits a historical analysis to the user based on the received rule; receives an input from the user to activate the rule; monitors performance of the rule; and transmits a recommendation to the user to retain or cancel the activated rule based on the monitored performance. Other related embodiments are disclosed.

Abstract: A computing device includes a processing resource, a memory resource, and computer-executable instructions stored thereon and embodied in a biller exchange bill pay application. The instructions, when executed by the processing resource, cause the computing device to receive, from a remote computing system, a data set comprising a plurality of billers. Each of the plurality of billers is subscribed to a biller exchange structured to allow each of the plurality of billers to deliver and receive payment on customer bills via a biller exchange computing system. A user-interactive page comprising at least one user-interactive control is generated and displayed on the computing device. The user-interactive control includes at least one property dynamically populated based on the data set comprising the plurality of billers (such as, for example, a property binding the user-interactive control to the data set).

Abstract: Provided is a computer-implemented method for authenticating a customer during payment transactions based on biometric identification parameters of the customer that includes receiving image data associated with an image template for identification of a customer, receiving image data associated with an image of a biometric identification parameter of the customer during a payment transaction between the customer and a merchant, establishing a short-range communication connection with a user device associated with the customer during the payment transaction between the customer and the merchant, authenticating an identity of the customer for the payment transaction via the short-range communication connection, determining an account identifier of an account of the customer based on authenticating the identity of the customer for the payment transaction, and processing the payment transaction using the account identifier of the account of the customer. A system and computer program product are also disclosed.

Abstract: A system and associated method provides a visualization of a life cycle of a trade order. The visualization may be in the form of a tree structure with a plurality of linked nodes. Each node may be associated with an event that occurs during the life cycle of the trade. A monitoring system receives information associated with a plurality of events associated with the trade order, generates a plurality of nodes based on the received information, stores identifiers associated with each of the plurality of nodes, and links the plurality of nodes based on the identifiers to create the tree structure. The monitoring system also performs a verification process to determine whether the visualization is missing information or includes incorrect information and alerts to a discrepancy identified during the verification process.

Abstract: Disclosed are methods and systems for associating payment card credentials with a companion application. In an embodiment, a consumer's mobile device processor receives an instruction to launch a companion application, displays a companion application user interface, and receives selection of an option to obtain payment card credentials from at least one wallet application. The process also includes displaying a list of payment card accounts associated with the selected wallet application for association with the companion application, receiving a selection of at least one payment card account, transmitting payment account credentials of the selected payment account to a wallet server computer, receiving a companion token representing a digitization of the selected payment card account from the wallet server computer, and associating the companion token with the companion application.

Abstract: A system and method for mobile device verification for an electronic application before providing a digital pass to an approved customer is disclosed. The method and system receives, at a store's customer credit application computer, an application for a new account, the application including a contact information for a customer's mobile device providing, from the store's customer credit application computer, the contact information for the customer's mobile device to a verification system to authenticate the customer's mobile device providing, from a credit account provider, a text to the customer's mobile device, the text causing the customer's mobile device to be subjected to a second authentication; receiving, at the customer's mobile device, a message that includes a link to the digital pass; and utilizing the link to receive the digital pass at a mobile wallet of the customer's mobile device.

Abstract: The invention relates generally to the provisioning of payment instruments onto electronic devices such as a mobile telephone, tablet, laptop or wearable, and in particular to securely provisioning payment instrument for which authorisation for the provisioning must be provided by a payment instrument issuer. A first embodiment is provided in which data that is generated during a transaction is received by an electronic device and transmitted from the electronic device to a server associated with an acquirer. The data received from the electronic device is compared to the data generated during the transaction and, if these match, provisioning is authorised. A second embodiment is provided in which a server associated with an acquirer generates an identification message that is separate from but based on a response message associated with a transaction, and provisioning is authorised or declined based on the identification message.

Abstract: A system and method for implementing a fast payment is described. A request to execute a payout to a payee account is received, where the request includes information about the payout. At least one payment rail available for the requested payout is determined from a plurality of payment rails based on the included information. Rules associated with each of the at least one payment rail are identified. A fastest payment rail is determined from the at least one payment rail for executing the payout based on the identified rules and the information about the payout. The payout is then executed over the determined fastest payment rail.

Abstract: Systems are provided for compressing portfolios of open option positions. Market participants may provide constraints, such as net delta and gamma values within a specific tolerance. A compression engine uses a linear, integer and/or linear-quadratic programming solver to analyze portfolios of multiple market participants and identify multilateral option spread trades that result in portfolios that are compressed subject to the constraints.

Abstract: A method includes a marketplace server establishing one or more security parameters for an exchange item and securely providing the one or more security parameters to a user computing device of the data communication system. When the user computing device desires to use the exchange item, the method further includes generating, by the user computing device, first dynamically secure exchange item data. The method further includes the marketplace server receiving the first dynamically secure exchange item data from the user computing device, generating second dynamically secure exchange item data, and comparing the first dynamically secure exchange item data with the second dynamically secure exchange item data. When the first dynamically secure exchange item data substantially matches the second dynamically secure exchange item data, the method further includes authorizing, by the marketplace server, the use of the exchange item by the user computing device.