Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Realtime Risk Analytics Platform for Financial Fraud Detection
  1. case
  2. Realtime Risk Analytics Platform for Financial Fraud Detection

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Realtime Risk Analytics Platform for Financial Fraud Detection

sphereinc.com
Financial services
Information technology
Security

Challenges in Fraud Detection and Regulatory Compliance

The bank faces significant financial losses due to undetected fraudulent transactions, struggles with credit risk mismanagement leading to bad loans, and risks regulatory penalties from non-compliance with financial regulations. These issues threaten customer trust and institutional stability.

About the Client

Major multinational banking institution seeking enhanced fraud prevention and compliance capabilities

Risk Management Enhancement Goals

  • Improve fraud detection accuracy by 20%
  • Reduce financial losses from fraudulent activities
  • Ensure full compliance with financial regulations
  • Enhance customer trust through robust security measures

Core System Capabilities

  • Realtime transaction monitoring and fraud detection
  • Multi-channel data integration from banking systems
  • Machine learning-based anomaly detection
  • Regulatory compliance monitoring dashboards
  • Realtime risk reporting and visualization

Technology Stack Requirements

AWS Lambda
Amazon Kinesis
Amazon Aurora
Amazon SageMaker
Tableau
Informatica

System Integration Needs

  • Core banking systems
  • Third-party fraud databases
  • Regulatory reporting platforms
  • Customer identity verification services

Operational Requirements

  • 99.99% system availability
  • Realtime processing latency <500ms
  • PCI-DSS compliance
  • Horizontal scalability for transaction volume spikes
  • Role-based access control with multi-factor authentication

Expected Business Impact

Implementation of the risk analytics platform is projected to reduce fraud-related financial losses by 20%, achieve full regulatory compliance, and significantly improve customer retention through enhanced security measures. The solution will also enable faster detection of emerging fraud patterns while maintaining seamless customer transaction experiences.

More from this Company

AI-Driven Client Engagement Platform for Financial Services
Cloud-Based Predictive Analytics Platform for Event Planning Optimization
Implementation of NetSuite ERP for Law Firm Financial Compliance and Operations Optimization
M&A Due Diligence Technology Assessment Platform
AI-Powered Underwriting Compliance and Risk Management System