With the technological disruptions in both banking and payments sector, fraudulent activities has been an ever-growing issue with huge consequences to banks and customers alike, both in terms of financial losses, trust, and credibility.
TransOrg helps in mitigating risks and frauds by identifying anomalies at transactions, accounts and merchant level using various complex modelling algorithms.
Detect and analyse anomalous patterns.
Classify problem into supervised/unsupervised learning.
Create new variables for precise insights.
Create and compare multiple machine / deep learning models.
Near real time model integration in big data infrastructure.
Automated improvements in output based on self – learning models
Monitor model performance.
Track anomalies and quantify mitigated risks.
