📊FinTech

FinTech Analytics Platform

Real-time financial data processing

$2M+
Daily Transactions
99.99%
System Uptime
23% Reduction
Fraud Detection
10K+
Concurrent Users

Project Overview

This FinTech analytics platform represents a cutting-edge solution for real-time financial data processing and risk management. Built for a Series B startup in the financial services sector, the platform handles massive volumes of transaction data while providing instant insights for risk assessment and fraud detection. The system processes over $2M in daily transactions across multiple financial instruments, providing real-time analytics dashboards for compliance officers, risk managers, and executive leadership. The platform's microservices architecture ensures high availability and scalability, while advanced machine learning algorithms continuously improve fraud detection accuracy.

Key Features

Real-time transaction processing with 99.99% uptime
ML-powered fraud detection reducing losses by 23%
Regulatory compliance automation (SOX, PCI-DSS)
Microservices architecture handling 10K+ concurrent users
Real-time dashboard with 50+ financial metrics
Advanced risk scoring algorithms
Automated compliance reporting
Multi-tenant architecture for different client segments

Challenges

Handling 100K+ transactions per second
Ensuring real-time data consistency across microservices
Implementing complex financial compliance rules
Optimizing ML model performance for fraud detection

Solutions

Implemented event-driven architecture with Apache Kafka
Used Redis for distributed caching and session management
Built custom compliance engine with rule-based processing
Optimized ML models with TensorFlow and custom algorithms

Project Information

2024 - 2025
Team of 8
Full Stack

Technologies

React 18Node.jsTypeScriptPostgreSQLRedisApache KafkaDockerKubernetesAWS ECS
John Francis dela Vega - Senior Software Engineer