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Enhancing Trading and Risk Management Applications for a Global Financial Firm
Industry
Financial Services
Work
Performance Optimization, Feature Development, System Modularity Enhancement
Purpose of the product

Over two years, our team collaborated with Plaid, a global financial services firm, to optimize their trading and risk management applications. We maintained low-latency data processing for large financial datasets, added new risk analysis functionalities, and refactored the codebase to reduce technical debt. 

By integrating a microservices architecture for modularity and scalability, we deployed new features ahead of schedule and increased test coverage by 35%, significantly improving code reliability.  
 

01 / Key product information
Project Description

Over two years, our team of 12 developers worked closely with Plaid to enhance their trading and risk management applications.  

We refactored the codebase to reduce technical debt and integrated a microservices architecture for modularity and scalability. This allowed Plaid to deploy new features faster and maintain low-latency data processing for large financial datasets.  

We added new risk analysis functionalities, improving the platform’s ability to handle complex financial scenarios. By increasing test coverage by 35%, we significantly improved code reliability and reduced production defects.  

Results Delivered

20% increase in data processing speed for large financial datasets. 

35% increase in test coverage, improving code reliability and reducing production defects.  

Faster feature deployment ahead of schedule, enhancing risk analysis capabilities.  

Key product information
Project results
Team

Backend Developers: 6 (Java, Hibernate, Spring Boot)  
Frontend Developers: 4 (UI/UX integration)  
QA Engineers: 2 (Testing, defect tracking) 
 

Key Challenges

Maintaining low-latency data processing for large datasets.  

Refactoring legacy code while ensuring compatibility with new features.  

Training internal teams on microservices workflows.  

Balancing rapid feature delivery with system stability. 

Client Collaboration

Weekly sprint reviews with Plaid’s trading and risk management teams.  

Joint workshops for feature prioritization and architecture design.  

Shared Jira board for task prioritization and progress tracking.  

Co-authored documentation for future maintenance.  

Tools & technologies

Spanning 30+ verticals and 25+ technologies, our team has designed and implemented innovative solutions to suit even the most unique needs.

01 Backend
Java
Hibernate
Spring Boot
02 DevOps & DB
Docker
GitHub
Kafka
PostgreSQL
03 Testing
JUnit
Mockito
04 Other Services
Jira
Confluence
Slack
PagerDuty
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