Expected Loss/credit portfolio value at risk (VAR) Monte Carlo simulator;
Artificial intelligence - Deep Learning models;
Psychometric risk models [GPAS].
Predictive Score Models
Analytics Services
Credit Bureau Global Behavior Score for consumers;
Credit Bureau Global Behavior Score for corporations;
Microfinance application scores and behavioral scores;
Credit card application scores and behavioral scores;
Loans application scores and behavioral scores;
Telecommunication application scores and behavioral scores;
Attrition scores for financial institutions;
Custom application score and behavioral score for financial institutions;
Collection scores.
Expected Income Capacity Models [EIC]
Analytics Services
This model predicts the expected income capacity of consumers with a reasonable confidence level by delivering a range of expected income [minimum, most likely, maximum].
Sources of information may include credit bureau report data, vehicle ownership data, social media sources, employment history, etc.
Uses several analytic techniques, including neural networks and Bayesian distributions.
Expected Loss/credit portfolio Value at Risk (VAR) Monte Carlo simulator
Analytics Services
Using a Monte Carlo simulator, this product estimates expected loss for a financial institution’s credit portfolio by calculating the Value at Risk [VAR].
This product uses a predictive loss model and Monte Carlo simulator software.
Artificial Intelligence Deep Learning Models
Analytics Services
Our analytics team has extensive experience working with many artificial intelligence tools and techniques:
Clustering analysis;
Outlier detection;
Neural networks;
Bayesian neural networks;
Transformation models;
LSTM [Long/short term memory] models;
Time series analysis.
Psychometric Risk Models [GPAS]
Analytics Services
We can develop psychometric risk models based on the Global Psychometric Assessment Scales [GPAS].
Using sixty-nine [69] psychometric questions associated with one-hundred and forty-eight [148] diagnostic criteria, we construct a risk-predictive model using fourteen [14] personality disorder scales and eight [8] clinical syndrome scales.