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Scoring System – Automated Risk Assessment and Integration Solution

  • Automatic Integration with the Central Credit Register (CCR), National Social Security Institute (NSSI), RegiX, and internal risk databases.
  • Connectivity with sales portals and the company’s credit management system.
  • Fast Implementation and trial period available.
  • Accurate Risk Assessment using both automated and manual configurations.
  • Controls accepted risk levels, evaluates risk value, and brings credit issuance under control with optimized management linked to default probability.
  • Web-based module with optional submodules and comprehensive evaluations. Fully integrates with your current system.

Automated and Precise Risk Management Model

The Scoring System provides a consistent and automated model for credit risk evaluation. It standardizes the assessment process and aligns responses with calculated risk for each loan applicant. It improves credit department efficiency, reduces costs, and determines risk premiums. Clients are rated and compared statistically against target groups. The system identifies over-indebtedness tendencies and non-payment probability. It protects your business from human error and fraud while synchronizing profit goals with company strategy.

Complete Risk Assessment Solution for Lending

  • Web-based application
  • Online integrations
  • Automated data processing
  • CCR integration
  • NSSI integration
  • Internal database matching
  • Synchronized modules with adjustable parameters

Client Demographic Profile Analysis

  • Place of residence (stability)
  • Age
  • Health insurance status
  • Employment type
  • Property ownership
  • Business registry data
  • Income level

Database Connections:

  • Credit history and status
  • Related persons

Borrower Income Evaluation

Disposable income is calculated based on scoring profile, income consistency, and loan obligations:

  • Income from employment (via NSSI)
  • Other declared income
  • Monthly loan payments – auto-calculated from CCR using embedded algorithm

Employment history classification:

  • Income amount and consistency
  • Frequency of job changes
  • Employment continuity

An algorithm calculates predefined disposable income aligned with the credit request objectives.

Credit History Evaluation

An algorithm calculates a risk score based on CCR data:

  • Number and amount of active loans from banks and financial institutions
  • Debt level analysis
  • Newly issued loans
  • Acquired receivables
  • Number of credit checks in the last 30 days (included in the analysis)

All data is processed automatically by the built-in algorithm.

Data Consolidation and Result Output Module

All component calculations are summarized into a final credit score, determining key contract parameters:

  • Negative base result: Denial reason specified using standard codes
  • Positive base result: Optimized values based on calculated risk for credit limit, term, interest rate, and fixed product

Scoring Model Configuration

The system allows configuration of all modules defining intermediate scores and final results:

  • Automated settings based on statistical algorithms and real data
  • Statistical modeling to define the ideal customer profile
  • Default probability derived from embedded historical data
  • Visualization of key influencing factors and correlations
  • Settings can be manual or automatic and are visualized via a dashboard that tracks progress toward risk level and expected profitability targets.