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Reporting &

Analytics  

Trend Analytics & Rules Optimization


  • Review fraud cases and identify emerging fraud trends
  • Perform client segmentation to increase the productivity of specific fraud prevention strategies
  • Optimize and maintain rule book
  • Conduct trade-off analysis between fraud loss, client experience and operational efficiency




Reporting & Metrics


  • Own the development, maintenance and management of a fraud operational dashboard that aggregates pertinent fraud KPIs (as defined by Fraud
  • Operations Strategy and Segment SLAs)
  • Communicate operational dashboard information (i.e., periodic reporting) to inform decision-making and strategy-setting




Root-Cause Analysis


  • Perform in-depth root-cause analysis aimed at identifying gaps in procedures resulting in major fraud event
  • Define remediation plan for identified issues




Model Development


  • Create and implement predictive models to understand future fraud trends




Skills


  • Strong analytical, interpretive and problem-solving skills.
  • Working knowledge of fraud systems, fraud detection/prevention principles and fraud compliance and regulatory issues
  • Ability to navigate analytical software tools (e.g. SAS, SQL, vendors solutions)




Action


  • Gather pertinent system data for analytics and reporting needs (e.g. client details, bank overrides)
  • Provide reports regarding SLA performance
  • Receive and leverage detection and monitoring data for trend analysis and rule book optimization
  • Receive detection and monitoring-related operational metrics for performance management reporting
  • Receive and leverage investigations-related operational metrics (e.g. number of open cases, cases per investigator, investigation time, etc.) for performance management reporting
  • Communicate emerging fraud threats and root-cause analysis output to guide strategic technology requirements and ensure effectiveness of fraud technology solutions
  • Share output of rules optimization to guide future procedure project requirements
  • Communicate output from root-cause analysis to serve as input for evaluating effectiveness of fraud prevention strategies
  • Provide reports on fraud program performance




Sample KPI


  • False positive/negative rates
  • Effectiveness of fraud related communications
  • Average report production time and accuracy





Trend Analytics & Rules Optimization


  • Review fraud cases and identify emerging fraud trends
  • Perform client segmentation to increase the productivity of specific fraud prevention strategies
  • Optimize and maintain rule book
  • Conduct trade-off analysis between fraud loss, client experience and operational efficiency




Reporting & Metrics


  • Own the development, maintenance and management of a fraud operational dashboard that aggregates pertinent fraud KPIs (as defined by Fraud
  • Operations Strategy and Segment SLAs)
  • Communicate operational dashboard information (i.e., periodic reporting) to inform decision-making and strategy-setting




Root-Cause Analysis


  • Perform in-depth root-cause analysis aimed at identifying gaps in procedures resulting in major fraud event
  • Define remediation plan for identified issues




Model Development


  • Create and implement predictive models to understand future fraud trends




Skills


  • Strong analytical, interpretive and problem-solving skills.
  • Working knowledge of fraud systems, fraud detection/prevention principles and fraud compliance and regulatory issues
  • Ability to navigate analytical software tools (e.g. SAS, SQL, vendors solutions)




Action


  • Gather pertinent system data for analytics and reporting needs (e.g. client details, bank overrides)
  • Provide reports regarding SLA performance
  • Receive and leverage detection and monitoring data for trend analysis and rule book optimization
  • Receive detection and monitoring-related operational metrics for performance management reporting
  • Receive and leverage investigations-related operational metrics (e.g. number of open cases, cases per investigator, investigation time, etc.) for performance management reporting
  • Communicate emerging fraud threats and root-cause analysis output to guide strategic technology requirements and ensure effectiveness of fraud technology solutions
  • Share output of rules optimization to guide future procedure project requirements
  • Communicate output from root-cause analysis to serve as input for evaluating effectiveness of fraud prevention strategies
  • Provide reports on fraud program performance




Sample KPI


  • False positive/negative rates
  • Effectiveness of fraud related communications
  • Average report production time and accuracy