Regulatory and Advanced Analytics

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

  • 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 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

  • Advanced text mining to analyze victim-centered investigations and derive behavioral patterns, typologies, and hidden threats
  • NLP-based negative news screening

  • Report attributes for regulatory and accounting requirements
  • Automate reporting and validation process
  • Build application for straight-through processing of data with associated reconciliations

  • Analyze data models for diverse data sources
  • Golden repository to ensure completeness,  integrity, and accuracy
  • Develop centralized reporting platforms, and dashboards
  • Automated data ingestion

  • Develop common reporting processes and align regulatory report

  • Align data governance and transformation methodologies
  • Establish Strong data quality variance thresholds to minimize deviations
  • Cost efficient data management

 

 

Crisil EDGE

 

 

Case Studies

platform-value-estimation
Integral IQ

Using Machine Learning/Deep Learning to create a scalable, user-friendly Credit Decisioning Model for a US Retail Bank’s Credit Card Portfolio
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Integral IQ

Create automated Risk Analysis and Capital Reporting Application to help a European Bank meet FINMA stress-testing requirements
visual-analytics-support
Integral IQ

Implement Strategic Reporting Tools and support Global Bank in Regulatory Reporting

partnering-with-an-investment-bank-new
Integral IQ

Validation Testing of Neural-Network-Based Wire Payment Fraud Detection Model for a large U.S. Financial Institution
thematic-strategy-research-on-workplace-diversity
Integral IQ

Enabling Basel II/III Dashboards for Regulatory Reporting by a Large European Bank
efficient-scheduling-of-field-trips-through-relevant-analysis
Integral IQ

FinfraG Article 39 Post Trade Transparency Trade Reporting support for cash equities and fixed income for a large European Bank
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Integral IQ

Create Machine-Learning-Based Model to help a leading US Retail Bank identify best prospects for Personal Loans
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Integral IQ

Implementing MiFID II trade and transaction reporting for cash securities, fixed income and OTC derivatives across asset classes for a large European Bank
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Questions

 

Looking for high-end research and risk services? Reach out to us at:

 

United States
1-855-595-2100/
+1 646 292 3520

 

United Kingdom
+44 (0) 870 333 6336

 

 

India
+91 22 33 42 3000 /
+91 22 61 72 3000 

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