Kpmg Llp

Pradeep Pai

Lawrence Raff

James Schneider

Dan Signorelli

Andrea Urban

Bimal Sahay

Andrew Jordan

Anu Sandhu

Jorge Blanco

Systems and methods for performing machine-driven analysis and determination of integrity due diligence risk associated with third-party entities and individuals associated with third-party entities are disclosed.

System and semi-supervised methodology for performing machine driven analysis and determination of integrity due diligence risk associated with third party entities and associated individuals and stakeholders

A risk simulation and assessment tool may enable a user to select scenarios and risk factors associated with a selected scenario. The risk factors may be defined by risk factor characteristics along with links that define connectivity or interconnectedness to other risk factors. The risk factor characteristics may also include impact, velocity, and likelihood. The tool may provide for a simplified way to create a computerized network map that includes the nodes of risk factors associated with each of the scenarios. The computerized network map may be displayed and dynamic adjustment may be available to the user. A simulation using the computerized network map may also be executed as defined by the risk factor characteristics, thereby enabling a user to determine how operations of an organization may be impacted by changing events that may occur in regions in which physical operations of an organization of the user exist.

Risk simulation and assessment tool

A system and process for forecasting third party disruption that uses a complex computerized network map as part of a risk model may be used to analyze risk for third parties. A number of risk factors or nodes of the map may include a wide range of risks (e.g., corruption) that have an impact on third parties in a geographic region. A baseline risk level may be established by scoring underlying risk measures for respective geographic regions. By executing the risk model using dynamic signal processing in a near real-time manner and considering impact, velocity, likelihood, and interconnectedness of risk factors and the diffusion of risk across a network, potential third party disruption and/or vulnerability can be forecasted.

System and method for performing signal processing and dynamic analysis and forecasting of risk of third parties

Electronic device display screen with a graphical user interface

Electronic device impact screen with graphical user interface

Electronic device with portfolio risk view graphical user interface

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New York, NY, United States of America

Pradeep Pai