Achieved ~60% Cost Savings through Automation in Fund Surveillance for a US-based Global Bank

A US-based bank was seeking support to improvise its manual process of fund data extraction, which included sourcing data from multiple websites, emails, and documents (PDFs, MS Excel, MS Word).

• 5Deployed a proprietary automated solution for NAV-based surveillance and draft credit ratings calculation. Highlights included:
  • Rules- and ML-based extraction of NAVs and ratings drivers from websites, factsheets, and prospectus
  • Data quality and validation checks performed using defined rules designed by our credit risk experts and coded by the analytics team
  • Ratings driver data mapped to the bank’s scorecard to generate preliminary ratings to be approved by the bank’s credit officer
  • Relevant data distributed and stored in client systems (API for public data and client network for private data)

• Strengthened fund surveillance while yielding over 60% cost savings
• Expanded onboarding and credit review capacity
• Improved agility for timely response to adverse market movements (e.g. NAV)