Financial Services & Insurance
ML, Data Engineering & Delivery at Scale
Solution Architecture & Integration

A financial-data platform provider.

Financial Insights Platform: Real-Time Financial Data at Scale

~50% faster data aggregation
More customers per analyst
Lower credit risk
Real-Time Financial Data at Scale

The Challenge

The client needed a robust platform to extract, process and store financial data at scale, handling the complexities of web scraping efficiently, with a better user experience - and real-time insight to support faster decisions.

What We Did

We built a Java-based backend platform that gathers, processes and analyses financial data in one place, unifying extraction, processing and storage into a single pipeline. A React frontend improves usability and workflow, with data visualisation and configuration management built in.

The Impact

~50% faster data aggregation for real-time financing decisions
More customers supported per analyst, with lower credit risk
A unified extract → process → store pipeline in one platform

How We Delivered

Technology stack
Spring Boot · Selenium · Sentry · WebSockets.
Team & approach

A 5-member team - a tech lead owning the platform architecture and data-pipeline design, two backend engineers on Spring Boot extraction, processing and storage services, and a frontend engineer on the React visualisation and configuration UI.

Inside The Build

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