RISKROBOT implements Credit Risk Models’ development and maintenance by leveraging predictive analytics, AI and ML techniques on Big Data. It also implements all the sophisticated algorithms and methodologies needed for advanced risk management and regulatory purposes. It makes extremely simple for both Financial Institutions and Corporations to significantly upgrade and fully automate their Credit Risk Management process.
The next frontier in optimizing Credit Decisions
A set of Machine Learning (ML) Techniques are employed to upgrade Credit Decisions on the higher possible level by constantly determining their effectiveness and suggesting corrective actions that lead to decreased losses and costs as well as improved profitability. Forward-looking perspectives can be easily examined through scenarios analysis.
Automated modern modeling methodologies
RISKROBOT incorporates a number of automated engines to apply the most modern methodologies and techniques on developing and validating statistical and algorithmic models. The automation of development ensures the minimum human intervention and eliminates possibilities of human errors or subjective decisions. All the kinds of developed models are subjects of periodical validation and calibration in order to confirm their efficiency and accuracy.
Advanced scientific tools for analytics on Big Data
Big Data analytics are used for revealing potential pathologies of Credit Process and shed light on Credit Policies’ weaknesses which can then be analyzed by the incorporated Artificial Intelligence (AI) tools
and Expert Systems in order to derive suggestions that will optimize the efficiency of the relevant practices and policies.
Innovative Predictive Analytics engines are used for forecasting Credit Behavior, future costs and Credit Losses of both Customers and entire Credit Portfolios.
User friendly interface and visualization
All the above complexity is hidden for the users behind a collection of user-friendly front-ends that provide all the sophisticated functionality through a few clicks or taps.