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: Systems and methods for detecting and mitigating fraud include a processor for performing steps including receiving a digital image of a receipt and utilizing an optical character recognition model to encode a digital representation of transaction information from the receipt. The processor extracts a payee feature, an amount feature, and a payment date feature from the transaction data, and generating a receipt feature vector from the payee feature, the amount feature and the payment date feature. The processor receives historical transaction data representing historical transactions, generates a transaction feature vector for each historical transaction and then utilizes a machine learning model to predict a matching transaction from the transaction history that matches the receipt based on the receipt feature vector and each of the transaction feature vectors to determine a difference between the payment amount of the receipt and the payment authorization of the matching transaction.

Abstract: Methods and systems for using machine learning to automatically determine a data loading configuration for a computer-based rule engine are presented. The computer-based rule engine is configured to use rules to evaluate incoming transaction requests. Data of various data types may be required by the rule engine when evaluating the incoming transaction requests. The data loading configuration specifies pre-loading data associated with at least a first data type and lazy-loading data associated with at least a second data type. Statistical data such as use rates and loading times associated with the various data types may be supplied to a machine learning module to determine a particular loading configuration for the various data types. The computer-based rule engine then loads data according to the data loading configuration when evaluating a subsequent transaction request.

Abstract: A method for processing a potentially fraudulent electronic payment transaction includes: receiving a first fraud detection rule configured to identify a potentially fraudulent electronic payment transaction; storing the first fraud detection rule in a fraud rules database; receiving a transaction request message; generating and storing a first case record associated with the first transaction in a case management database; receiving an updated fraud detection rule superseding the first fraud detection rule; applying the updated fraud detection rule to the first transaction to determine whether the first transaction does not satisfy the at least one updated fraud detection rule; and deleting the first case record from the case management database before the first transaction is further analyzed for fraud.

Abstract: A method of integrating electronic data including integrating a desktop such that the desktop includes information received from various sources. The information displayed may be analyzed by a business rule to prioritize what information is included in the desktop, and the information may include data from databases, recent member activities, planned future actions, and recommended future actions. The method also includes the ability to integrate and/or aggregate various data sources, such as databases. The combination of the data sources may be performed according to one or more business rules.

Abstract: In some implementations, a user device may receive, via an application, object information associated with an object, wherein the object information identifies a value associated with the object and a location of the object. The user device may determine an adjustment factor that is associated with transactions performed in a region of the location. The user device may determine, based on the value and the adjustment factor, an adjusted value associated with the object. The user device may generate, based on the adjusted value, an arrangement of tokens for a transaction involving the object and the tokens. The user device may output, via a user interface of the application, an indication of the arrangement of tokens to assist a user with engaging in the transaction.

Abstract: In some examples, a payment service system receives a request to associate a proxy identifier with a user account of a charity. The proxy identifier is individually distinguishable from other proxy identifiers associated with user accounts of other users, and has a syntax including a symbol and a string of one or more characters. The symbol and the string are concatenated such that the symbol appears immediately before the string. The payment service system receives, via an application on a user device of a user, an input associated with the proxy identifier, and performs a database lookup to identify the user account associated with the proxy identifier. Information associated with the user account of the charity is presented via a user interface presented by the application. The user interface enables the user to donate funds from a financial account of the user to the user account of the charity.

Abstract: In some examples, a payment system generates, for a first user, a proxy identifier having a syntax including a symbol and a string of one or more characters that are concatenated such that the symbol appears immediately before the string. The proxy identifier is associated with a financial account of the first user. The payment system receives an indication of an intent to transfer funds from a second user to the first user. The indication includes the proxy identifier in lieu of financial account information of the first user, and to identify the financial account of the first user for receiving the funds. Based at least on identifying the proxy identifier, the payment system accesses the financial account information of the first user and initiates the transfer of funds from the financial account of the second user to the financial account of the first user.

Abstract: Auctioning mechanisms adapted to improve the integrity of dark order block trading are provided.

Abstract: The present disclosure generally relates to a computer system displaying user interfaces for accessing passes and transfer accounts. In some examples, passes are added to the computer system. In some examples, passes are accessed. In some examples, transfers relating to the passes and transfer accounts are displayed, such as in search user interfaces.

Abstract: A mobile wallet computing system associated with a mobile wallet database includes a mobile wallet circuit structured to present a mobile wallet interface a mobile wallet user. The mobile wallet interface includes a first portion that includes a graphical depiction of a user payment vehicle associated with a financial institution, the first portion including a first interaction point that enables the user to initiate a sequence to engage in a mobile wallet transaction using the mobile wallet. The interface also includes a second portion that includes a second interaction point and a third interaction point, the second interaction point enabling the user to access a functionality enabling the user to indicate a transaction preference for a transaction with an entity other than the mobile wallet provider or financial institution, the third interaction point enabling the user to indicate a preference to initiate communications with the financial institution.

Abstract: Systems and methods for facilitating a transaction between a first entity and a second entity using a digital currency are described. In some aspects, a computing node participates in a private distributed ledger for a financial institution and stores one or more transaction blocks representing transactions in a digital currency. The digital currency is issued by the financial institution and is fixed with respect to a fiat currency. The computing node is configured to receive a transaction for transferring an amount of digital currency from a first entity to a second entity, generate a new transaction block representing the transaction, transmit the new transaction block to other computing nodes participating in the private distributed ledger, receive an indication of validity of the new transaction block, and insert the new transaction block into the private distributed ledger.

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: Systems and methods for authenticating a user, the method including receiving an image of a user of a device, identifying a first facial descriptor of the user from the received image and from previously captured images of the user, and determining a difference between the first facial descriptor from the received image and that from the previously captured images. The method further includes identifying a second facial descriptor of a non-user from the previously captured images of the user, and applying facial recognition to images stored in a plurality of second social networking profiles associated with a first social networking profile of the user to identify the second facial descriptor from the images stored in the second social networking profiles. Based on the difference and the second facial descriptor, the user may be authenticated.

Abstract: A digital image of a check may be divided into segments. The segments may be processed to determine the edges between the background data and the check data in the segments of the digital image. A histogram of each segment may be determined and used to determine the edges of the check image portions in the segments and thus the edges of the check. The data outside the edges of the check image portions in the segments may be considered to be background data and may be identified and/or removed. The segments, with the background data removed, may be recombined into an image of the check and provided into a digital image file that may be transmitted to an institution system for deposit of the check in an account.

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: This invention describes a new financial language which cures a deficiency sustained by money when it became computer handled: money lost its identity and became a number, as compared with banknotes and physical coins which had a material identity. The new language writes digital coin such that they have value and identity fused together. This new language allows for restoration of the old notion of the cash register. This invention describes a digital cash register offering operational advantages as to clarity, security and accountability.

Abstract: A method and system is disclosed herein for decoupling billing for web services from the application logic which governs those web services by instrumenting a web services stack to monitor SOAP envelopes for pre-determined elements and to use those elements to determine questions as to authorization for solvency as well as calculate charges for said web services.

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.