Financial institutions around the world rely on CRISIL for the most sophisticated advanced analytics and regulatory analytics applications.
Using support vector machines, artificial neural networks and other forms of machine learning, CRISIL develops predictive models and provides clients with solutions across risk, sales & trading, finance, AML/FCC and research.
CRISIL's combination of vast experience developing, deploying and monitoring machine learning models and deep pool of analytic talent allows us to address client needs and reduce turnaround times across a range of critical functions such as transaction/trade monitoring and fraud detection.
Our proven expertise and comprehensive capabilities in machine learning help CRISIL achieve above-par accuracy in predicting defaults.
Solution Components
Model Risk
Extensive advanced exploratory data analysis
Scoping, analyzing model theory, model assumptions and highlighted limitations
Automatic interactive charts and tables
Validating approach, outcome analysis, backtesting, and specific testing including challenger model building
AML/FCC
AML alert classification and clearing solution
Hidden relationships, early warning rules, facilitation network, and anomalies in behaviors using AI/machine learning techniques for FCC
Extended hibernation list customer identification using machine learning
Text Analytics/Processing
Advanced text mining to analyze victim-centered investigations and derive behavioral patterns, typologies, and hidden threats
NLP-based negative news screening
Automated Reporting & Validation
Report attributes for regulatory and accounting requirements
Automate reporting and validation process
Build application for straight-through processing of data with associated reconciliations
System Integration and Data Aggregation
Analyze data models for diverse data sources
Golden repository to ensure completeness, integrity, and accuracy
Develop centralized reporting platforms, and dashboards
Automated data ingestion
Process Standardization
Develop common reporting processes and align regulatory report
Data Governance and Quality Management
Align data governance and transformation methodologies
Establish Strong data quality variance thresholds to minimize deviations
Cost efficient data management
CRISIL EDGE
Expert solutions from ML experts in predictive analytics using techniques like supervised, unsupervised or semi-supervised learning
Technology skills include SAS, Python, Pyspark, JSON, APIs, Big Data, Qlik, Cloud, AWS and others
Superior experience in data mining, pattern recognition, data visualization using open source or proprietary tools
Increased efficiency by minimizing manual interventions
Expert solutions from ML experts in predictive analytics using techniques like supervised, unsupervised or semi-supervised learning
Technology skills include SAS, Python, Pyspark, JSON, APIs, Big Data, Qlik, Cloud, AWS and others
Superior experience in data mining, pattern recognition, data visualization using open source or proprietary tools
Increased efficiency by minimizing manual interventions