Fraud Analytics

Anomaly Detection

Banking Fraud has been an ever-growing issue with huge consequences to banks and customers alike, both in terms of financial losses, trust, and credibility. Also, with the technological disruptions in both banking and payments sector, it is essential to detect new threats and mitigate risks and frauds.

TransOrg offers solutions to identify anomalies at transactions, accounts and merchant levels using various complex modelling algorithms.

Demand Forecasting, Customer Segmentation, Higher Campaign ROI, Predictive Attrition Modelling, Cross-Sell Modelling

Impact

Reduced losses due to defaults.

Improve and maintain asset level portfolio quality.

Improved fraud management by raising resd flags for anomalies.

Better customer experience by preventing phishing attacks.

Better understanding on customer behaviour

What we do

Exploratory data analysis

Classify problem into supervised/unsupervised learning.
Detect and analyse anomalous patterns.

Feature engineering and model building

Engineer features
Create and compare multiple machine / deep learning models.

Model integration and feedback

Near real time model integration in big data infrastructure.
Automated improvements in output based on self – learning models

Monitor and monetize

Monitor model performance
Track anomalies and quantify mitigated risks.

Want to learn more about TransOrg’s value proposition, solution methodology and implementation approach?

Download Brochure

Case Studies

Identified non-compliant merchants where corporate credit cards are being used for a leading financial services company

Have an analytics need or want to know more about our services?