The acceleration of innovation and regulatory reform is increasing the risk that bank technology platforms become obsolete or uncompetitive. CRISIL helps banks upgrade and replace legacy technology systems that hinder growth, while minimizing implementation disruptions.
Leveraging our strong understanding of business processes across the sales and trading, risk, finance, operations and compliance functions, CRISIL partners with financial institutions to transform technology, build out next-generation architecture and reduce infrastructure downtime.
CRISIL supports our partners through these transformations by providing specialist solutions across application development and maintenance support, system migration and integration across functions, smart automation through NLP, RPA, AI/ML, business intelligence and cloud implementation.
Solution Components
Application Development and Support
Development and L1, L2, L3 support to client proprietary and third-party systems
Risk management and reporting applications
Scenario/stress-testing application/tools
Platforms for risk aggregation, analytics and reporting across asset classes
Pricings libraries
System Transformation and Rationalization
Migration from legacy risk systems to unified, next-gen systems
Harmonizing risk systems across functions
Advanced Analytics and Smart Automation
Front-to-back process re-engineering and automation
In-house data aggregation, analysis and reporting capabilities
RPA implementation for operational automation
Employing AI/ML in fraud detection/violations and predictive analytics
Business Analysis and Testing
Gap and impact analysis
Requirement gathering/analysis and preparing BRDs/FRDs
Integration testing, regression testing, and UAT
Defect management and traceability matrix
Business Transformation
Defining risk methodologies
Regulatory impact analysis
Data governance frameworks
Front-to-Back harmonisation of systems
Infrastructure rationalisation and migration
Process re-engineering
Smart automation utilizing RPA, NLG, NLP, Blockchain, and ML
CRISIL EDGE
Deep expertise across various SDLC methodologies – waterfall, iterative, agile
Extensive technology expertise across programming languages, databases, analytics tools, and automation platforms
Techno-functional expertise combining technology with domain knowledge, understanding of front-to-back banking processes, experience in business analysis and project management
Deep expertise across various SDLC methodologies – waterfall, iterative, agile
Extensive technology expertise across programming languages, databases, analytics tools, and automation platforms
Sound knowledge of derivative products – Vanilla, Exotic, Structured Notes, ETFs
Techno-functional expertise combining technology with domain knowledge, understanding of front-to-back banking processes, experience in business analysis and project management