Different systems (working as silos) catering to multiple LOBs
Manual and inefficient spreadsheet-driven processes that led to errors
Market data issue
Market data used by finance team were inconsistent across LOBs
Information challenges in the bank’s monthly IPV process and reporting
Lack of single market data repository for LOBs
Inconsistent and inefficient process
Inconsistency in methodology of performing IPV across LOBs
Finding and Analysing breaches specifically for products like bonds was a time consuming process
Approach
Training/discussion with SME's
Detailed discussions with traders, IPV SMEs and business to understand current process, define target state, define relative and absolute Business thresholds , Position thresholds ( in case of bonds), common reports
Standardization & pilot
Sourcing Market data (consensus/broker/proxy) from various data providers
Classification of trades, price discovery based on Fair Value Hierarchy
Compute variances, perform data validation, adjustments and reporting
Setting-up the process
Designed IPV reports such as Full Reval, Risk-Based etc. that would be consistent across LOBs
Started a PILOT with Linear RATEs and then later complex products were on boarded to move to strategic system
Single market data repository
Setting up an integrated market data platform, coordinating the development activities to enable correct mapping of independent data across LOBs
Unified risk engine delivery
Redesigned and revamped the entire IPV manual process and brought the entire efforts into a single platform by migration from spreadsheets to a single risk engine and risk viewer
Offshore team Setup
Post the migration, Crisil helped the bank in setting up a large offshore team for over a period of 1 year, train the new associates and provide adequate tools and documents for their BAU
Crisil Impact
Crisil conceptualised and developed the reports by working with Business and Technology teams, and successfully delivered a comprehensive set of tools and reports for the use of the IPV team. Crisil delivered the critical platform on time by leveraging expertise in both business and IT
The team developed incremental reports that leveraged attribution analysis methodology to provide an in-depth understanding of IPV variance
Significantly reduced the time, complexity of effort and manual intervention in performing the IPV process
Enhanced the process overall . For example pioneered roll out of IPV PLEX with explains defined to cover variance between full reval and partial reval method
A large portion of the daily IPV process is running from offshore across LOB/ product classes from last year
This has led to a overall cost reduction for the bank, better SOX controls, efficient processes with analysts not spending majority time to run reports manually, and standardised Management reporting