Credit Risk Analytics & Reporting
Vector ML Analytics Provides Tools to Assess and Manage This Risk, Helping Banks Mitigate Losses and Comply With CECL and IFRS 9 Standards by Modeling Expected Credit Losses. With Advanced Analytics, Vector Supports Financial Projections for Loan Portfolios, Enabling Data-Driven Decisions and Optimized Credit Risk Strategies.
Credit Risk Features
Comprehensive tools and analytics for enhanced financial management and decision-making
Cumulative Static Loss
Vector ML Analytics Provides Static and Dynamic Loss Analysis to Help Banks Predict Potential Losses and Assess Credit R...
Delinquency Matrix
Vector ML Analytics Provides Advanced Delinquency Migration and Roll Rate Matrix Tools, Enabling Banks to Track How Loan...
Expected Credit Loss (ECL)
Expected Credit Loss (ECL) Is a Critical Credit Risk Metric Representing the Net Loss When a Borrower Defaults, Calculat...
CECL & IFRS 9
Compliance With CECL and IFRS 9 Standards Is Essential for Financial Institutions to Ensure Accurate Estimation of Expec...
Cumulative Static Loss
Vector ML Analytics Provides Static and Dynamic Loss Analysis to Help Banks Predict Potential Losses and Assess Credit Risk. Static Loss Analysis Evaluates Historical Data to Establish Baseline Loss Rates, While Dynamic Loss Analysis Uses Predictive Modeling to Simulate Scenarios Like Economic Shifts and Borrower Behavior Changes. This Combined Approach Enables Banks to Assess Risk, Improve Forecasts, Enhance Stress Testing, and Optimize Risk Management Strategies, Equipping Them to Proactively Manage Potential Losses and Maintain Financial Stability.

Scale Your Lending,
Not Your Operations
The Vector Engine Transcends Traditional Credit Risk Analysis by Delivering Dynamic Insights for Loss Management, Compliance, and Portfolio Optimization, Empowering Financial Institutions to Strengthen Their Financial Resilience and Drive Sustainable Growth.
Publications
Research and Articles.