Risk analysis (scoring)
by Kontomatik · Regulatory reporting and risk · Warsaw, Poland
Multi-factor risk analysis using machine learning to evaluate financial health and reduce customer insolvency risk.
What Risk analysis (scoring) does
- Multi-factor risk assessment
- Machine learning analysis of thousands of transactions
- Financial health metric calculation
- Insolvency risk reduction
- Advanced data science evaluation
What Risk analysis (scoring) is used for
- Assessing creditworthiness
- Reducing risk of customer insolvency
- Improving credit verification process
- Making better lending decisions
Who Risk analysis (scoring) is for
- Banks
- Lenders
About Kontomatik
Open banking API with machine learning for financial data access, identity verification and risk analysis.
Kontomatik in the vendor registry: its products, features and similar vendors.
Also by Kontomatik
- Access to account information: Read-only API providing consolidated banking data from supported banks including account details, balances and transaction histories.
- Identity verification: Instantly verifies customer identity and minimizes fraud risk using banking data.
- Income and spending check: Securely verifies customer income and spending in seconds using banking data analysis.
- Transaction labeling: Machine learning labels financial behaviors from transaction analysis to identify valuable customers.
- PDF document analysis: Automated analysis of PDF documents replacing manual verification with seconds of automatic processing.
- Account Information Access: Open banking access to account data
More in this category: Regulatory reporting and risk management software.
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