Reporting &


Client Segmentation & Tuning

ComplyGenics works with clients to evaluate the client segmentation maturity to mitigate fraud risk. We analyze segment-specific thresholds & controls, and client interaction strategies to identify fraud loss and poor client experience

What-if Analysis

ComplyGenics conducts enhance statistical analysis on the possible outcomes of changing detection rules/thresholds or processes with regard to fraud loss, false positive/negative rates, and client experience to make data-driven decisions

Single Client View & Root-Cause Analysis

ComplyGenics helps in creating a holistic view of the client (accounts, products, loans, cards, alerts) and comprehensive root-cause analysis, resulting in detailed investigative and forensic capabilities to enhance existing processes and controls

Reporting and Fraud Dashboard

ComplyGenics helps in limiting the manual report generation and commentary process across different teams and provides a comprehensive automatic reporting system. This approach avoids siloed analyses and helps in detailed insight for holistic decision-making and strategy setting

Detection & Client Profiling

ComplyGenics helps in evaluating existing rule-based detection capabilities and it also leverages non-monetary data such as client behavior analysis to identify abnormal activity resulting in efficient and effective detection and prevention capabilities

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


  • 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)


  • 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