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
Modernization of a Fintech SIPP Platform for Enhanced Scalability and Agility
  1. case
  2. Modernization of a Fintech SIPP Platform for Enhanced Scalability and Agility

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.

Modernization of a Fintech SIPP Platform for Enhanced Scalability and Agility

simform.com
Financial services
Information technology

Challenges with Legacy System

The client's existing SIPP platform suffers from an outdated architecture, integration complexities with legacy wealth management systems, and insufficient test coverage. These issues lead to slow release cycles, reduced system stability, and difficulty in meeting evolving regulatory requirements. The legacy frontend is not modular, hindering maintainability and alignment with backend modernization efforts.

About the Client

A leading UK-based fintech platform providing pension administration services to major financial institutions. The platform manages a significant volume of pension transactions and requires robust security and reliable performance.

Project Goals

  • Increase development velocity by 100%.
  • Improve system stability and reliability.
  • Enhance test coverage across all layers (API and UI).
  • Modernize the user interface for improved user experience and accessibility.
  • Streamline release cycles through CI/CD implementation.

Functional Requirements

  • Secure account creation and management.
  • Automated transaction processing (contributions, withdrawals, transfers).
  • Comprehensive reporting and analytics.
  • Integration with existing wealth platforms via APIs.
  • User authentication and authorization with strong security controls.
  • Role-based access control.

Preferred Technologies

Modern JavaScript framework (e.g., React, Angular, Vue.js)
Component-based architecture
API-first design
CI/CD pipeline (e.g., Jenkins, GitLab CI, Azure DevOps)
Automated testing frameworks (e.g., Jest, Cypress)
Cloud-based infrastructure (e.g., AWS, Azure, GCP)

Integrations Required

  • Existing wealth management platforms (via APIs)
  • Regulatory reporting systems
  • Authentication providers

Key Non-Functional Requirements

  • High scalability to handle high-volume transactions.
  • Enterprise-grade security and data protection.
  • High availability and reliability (24/7 support and maintenance).
  • Performance optimization for fast response times.
  • Accessibility compliance (e.g., WCAG).

Expected Business Impact

This project is expected to significantly improve the client's operational efficiency, reduce development costs, enhance system reliability, and accelerate time-to-market for new features. The modernized platform will also improve the user experience for both internal teams and institutional clients, leading to increased client satisfaction and competitive advantage.

More from this Company

Cloud-Based Quoting System Integration for Manufacturing Efficiency
Automated Order Fulfillment and Inventory Management System
IoT-Driven Workplace Satisfaction Platform with Real-Time Analytics
Development of a 360° Customer Data Platform for Personalized Marketing in Sports eCommerce
Real-Time Multimodal Logistics Tracking Platform with Predictive Analytics