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 and Scalability of Posttrade Automation Platform on Azure
  1. case
  2. Modernization and Scalability of Posttrade Automation Platform on Azure

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 and Scalability of Posttrade Automation Platform on Azure

scalosoft.com
Financial services

Scalability and Technical Debt Challenges

The existing on-premises posttrade automation system lacks the scalability required to support planned business expansion from 50 to 200 customers. This system also suffers from technical debt, hindering agility and increasing operational costs. The limitations impede the company's ability to capitalize on growth opportunities within the rapidly evolving fintech landscape and meet increasing regulatory demands.

About the Client

A US-based fintech provider specializing in posttrade operations, offering a dynamic operational platform to streamline financial workflows including allocation and trade matching, and centralizing transactional data for informed trading decisions.

Project Goals

  • Achieve a highly scalable and reliable posttrade automation platform.
  • Reduce operational costs by leveraging cloud-based resources.
  • Improve system performance and responsiveness.
  • Modernize the platform to address technical debt and enhance agility.
  • Prepare the platform to meet future regulatory requirements and support planned product expansion.

Functional Requirements

  • Real-time trade matching and allocation.
  • Centralized data management and standardization.
  • Comprehensive reporting and analytics.
  • Secure access control and audit trails.
  • Workflow automation and process optimization.

Preferred Technologies

Microsoft Azure Data Platform (Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks)
React
Python

Required Integrations

  • Existing banking systems
  • Regulatory reporting platforms
  • Third-party data providers

Non-Functional Requirements

  • High scalability to support future growth.
  • High availability and reliability.
  • Data security and compliance with industry regulations.
  • Low latency for real-time processing.
  • Cost optimization.

Expected Business Impact

Successful completion of this project is expected to result in a 400% increase in system capacity, a 60% reduction in operational costs, and enable the company to successfully expand its customer base from 50 to 200, capitalizing on the projected 15% revenue growth within the fintech sector. It will also position the company to better navigate regulatory pressures and maintain a competitive edge.

More from this Company

Development of a Data-Driven Customer Personalization Platform for a Multinational Bank
Automated Document Processing System for Global Software Firm
Global Expansion of Fintech Charity Platform with Enhanced Scalability and User Engagement Features
Smart Door System Enhancement for Real-Time Crowd Density Monitoring and Access Control
Development of a Machine Learning-Based Credit Risk Assessment Platform for Enhanced Debt Management Operations