Objective

Help a global bank eliminate backlog and improve the efficiency and effectiveness of fund surveillance by automating its manual process for sourcing funds data from thousands of websites and PDFs.

CRISIL's Solution

• Deployed 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).

Client Impact

• 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)

Questions

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