Implementing Risk Analytics for Fraud

Detection in a Major Bank

01

Credit risk management and compliance issues were adversely affecting a bank’s financial integrity and stability.

02

Data Analytics

03

20% improvement on fraud detection accuracy and reduced financial losses.

A major banking firm was confronted with a series of complex challenges in its risk management operations:

These challenges were affecting the bank’s financial stability and customer relationships, necessitating an urgent and effective solution.

Approach & Architecture

Team Structure

The team was comprised of risk analysts, data engineers, AWS and Informatica specialists, data scientists, and Tableau developers.

By implementing a robust risk analytics solution, the bank successfully mitigated its challenges in fraud detection, credit risk management, and regulatory compliance, resulting in financial stability and enhanced customer trust.

• Fraud Detection: Identifying fraudulent transactions was a significant issue, leading to financial losses and eroding customer trust.

• Credit Risk Management: The bank had difficulties in effectively managing credit risks, which could potentially lead to bad loans and financial instability.

• Regulatory Compliance: Ensuring compliance with financial regulations was another hurdle, as failure to comply could result in hefty fines and reputational damage.

• Real-time Data Processing: Utilized AWS Lambda, Amazon Kinesis, and Amazon Aurora for real-time data processing.

• Data Integration: Integrated data from various channels using Informatica.

• Advanced Analytics: Employed Amazon SageMaker for advanced analytics and anomaly detection in real-time.

• Reporting & Monitoring: Used Tableau for real-time reporting and monitoring.

• Improved Fraud Detection: Achieved a 20% improvement in fraud detection accuracy.

• Reduced Financial Losses: The improved accuracy led to a significant reduction in financial losses.

• Enhanced Compliance: Achieved better compliance with financial regulations.

• Improved Customer Trust: The effective fraud detection and compliance measures led to improved customer trust.

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Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Senior Product Manager at Enova Financial

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Mark Friedgan

CEO at CreditNinja

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René Pfitzner

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Chief Information Officer at Integra Credit

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Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors