Fraud Analytics

Fraud and Risk Management

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.

What We Do

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    Exploratory data analysis

    Detect and analyse anomalous patterns.

    Classify problem into supervised/unsupervised learning.

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    Feature engineering and model building

    Create new variables for precise insights.

    Create and compare multiple machine / deep learning models.

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    Model integration and feedback

    Near real time model integration in big data infrastructure.

    Automated improvements in output based on self – learning models

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    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?

Our Services Provide a Unique Range of Benefits

Reduced losses due to defaults

Improved Asset Portfolio Quality

Thorough assesment of customers

Improved customer experience

Reduced frauds and delinquencies

Other Solutions

  • mix-market

    Credit Risk Scorecard

    Credit risk modelling is an approach to determine the probability of default of a customer.

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    Collection Analytics

    Make strategies for collections and recovery to mitigate losses.

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    Customer Analytics

    Get customer insights such as wallet share, life time value and affinities to explore cross/up sell opportunities.

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Case Studies