Scalable Data Platform Development to Enhance Post-Trade Operations in Financial Services

The client, a fintech provider in the financial services sector focusing on post-trade operations, faced challenges such as limited scalability of their existing on-premises system, difficulty in handling increasing transaction volume, and the need to modernize their data infrastructure to support business growth from 50 to 200 customers. These limitations hindered operational speed, reliability, and regulatory compliance, risking competitive positioning in a saturated market.

A mid-sized fintech firm specializing in automating post-trade financial workflows, aiming to expand its operational capacity and improve data handling efficiency.

• Develop a modern, scalable data platform utilizing cloud technology to support a customer base expansion from 50 to 200 entities.
• Achieve at least a 60% reduction in operational costs through infrastructure optimization.
• Increase data processing capacity by 400%, enabling faster trade matching and allocation processes.
• Enhance system reliability and speed to improve user experience and ensure compliance with regulatory standards.
• Reduce technical debt associated with legacy systems to facilitate future product expansion and modernization.

• Centralized data consolidation and standardization for transactional post-trade data.
• High-throughput data ingestion and processing pipelines to handle increased trade volumes.
• Automated data validation and quality checks to ensure regulatory compliance.
• Real-time analytics dashboards and reporting tools for informed decision-making.
• Secure role-based access controls and data security protocols to protect sensitive financial information.
• Scalable architecture that supports future feature integrations and business growth.

• Integration with existing trading and settlement systems for data ingestion.
• Connectors to regulatory reporting systems.
• Interfaces for user access via web portals, dashboards, or APIs.

• System scalability to support at least a 400% increase in data processing capacity.
• Operational cost reduction of at least 60% compared to legacy infrastructure.
• High system availability with 99.9% uptime.
• Data security compliance including encryption, role-based access, and audit trails.
• Data latency optimized for real-time or near-real-time processing.

The new data platform is projected to enable the client to support a fivefold increase in customer base, reduce operational costs by over 60%, and increase data processing capacity by 400%. This modernization will improve trade processing speed and reliability, facilitate compliance with evolving regulatory requirements, and position the company for subsequent product innovations, ultimately driving revenue growth and competitive advantage in the fintech industry.