Data Analytics & AI

Financial Services and Public Institutions strive to design and improve traditional AFC tools by calibrating, over time, thresholds, models, and detection rules to tackle the evolution of:

  • Regulations
  • Operational Risks deriving from new products/payment channels
  • Customer base segmentation and geography

With more than 10 years of experience in Fraud Governance, JS provides a mix of business consulting, machine learning, domain expertise and data science, to support AFC strategy with:

  • Develop customer/third party risk scoring model
  • Develop/Optimise Machine Learning model and harmonise the outcome with the alerting results
  • Define/optimise features to improve theexplainability
  • Identify potential efficiency gains
  • Integrate data into test/simulation environment and run the new models (e.g. for periodic review)
  • Define and develop KPI/KRI in Business Intelligence Reporting tools
  • Run “above the line” and “below the line” analysis for threshold tuning
  • Provide training and support to selected group of Customer experts (i.e. “Train the trainer”)

Contact us to find out why our clients choose us.