Scientific Financial Systems

Client: Scientific Financial Systems is a team of experienced quantitative investment practitioners and data scientists with over 25 years in quantitative research and active fund management. They specialize in creating tools for researching and implementing quantitative strategies in a flexible, efficient, and scalable environment.

Challenge: The client had developed an application to support quantitative research but encountered significant challenges with the backend infrastructure. As the data volume grew, the system struggled to handle large datasets, complex database schemas, and intricate SQL queries. The data pipelines became increasingly difficult to manage, compromising the reliability and structure needed for accurate analytics.

In addition to backend challenges, the front-end of the application was hampered by outdated architecture and cumbersome user interfaces. This led to a suboptimal user experience, making it difficult for their team to leverage the full potential of their platform. Scientific Financial Systems sought a partner to modernize both the backend and the user interface to support their expanding client base and improve overall data handling

Solution: Given the successful track record of working with similar clients in the investment and financial data sectors, our client partnered with SSI for this important upgrade. Leveraging our deep expertise, we implemented a comprehensive solution that addressed both the backend data management and front-end user experience.

1. Backend Revitalization
   A specialized team of data engineers was assembled to improve the management of complex financial data. We upgraded the backend infrastructure using Python, refining data pipelines and optimizing SQL queries. Our solution ensured better data validation, seamless integration, and more reliable management of large datasets.
2. Front-End Enhancement
   Our front-end engineers focused on revitalizing the user interface to create a more intuitive, modern experience. The outdated React application was upgraded to the latest version, and we revamped the network layer with Redux-Saga for improved efficiency. Key changes included:
   • Refactoring critical modules for better performance and scalability
   • Designing user-friendly UI flows to simplify navigation and functionality
   • Customizing the interface to meet specific client requirements and enhance demo presentations
3. Seamless Integration with Thomson Reuters Data
   Given our extensive experience working with Thomson Reuters financial data, we were able to integrate their data smoothly into the revamped system. This allowed for optimized data pipelines and ensured that complex financial datasets could be processed efficiently and reliably.

Result: With the upgrade of both the backend infrastructure and user interface, our client experienced significant improvements across the board. The enhanced data pipeline and modernized UI contributed to:

• An expanded client base, thanks to improved performance and user experience
• The successful delivery of customized client demos that helped attract new business
• A more efficient and scalable platform that supports future growth

The client was able to accelerate its growth, reach new users and secure additional clients.