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A top supplier of financial technology in the world, working with more than 200 financial institutions in 30 nations. Brokerage businesses, asset managers, and big investment banks are among their clients.
For the customer to satisfy the intricate requirements of institutional traders, a reliable, scalable, and secure trading platform was required. In addition to handling high-frequency trading, the platform needed to support a variety of asset classes, offer real-time market data, and abide by strict financial rules. Furthermore, the system must be adaptable to accommodate the different needs of different financial organisations.
Stakeholders and possible end users of the customer were interviewed in-depth by our team of business analysts and financial domain experts. To develop a thorough set of functional and non-functional criteria, we examined current trading procedures, legal requirements, and performance benchmarks.
Our microservices design was chosen to guarantee maintainability and scalability. Two-week sprints of the Agile technique were used in the development process. Continuous integration and deployment (CI/CD) is supported by a strong DevOps pipeline that we put in place.
Role-Based Access Control was put into practice (RBAC)
Multi-Factor Authentication Integrated (MFA)
Created the Request for Quote (RFQ) and Central Order Book (COB) protocols.
Put into practice order matching and execution in real time.
Developed a currency manager to view FX rates in real time.
Integrated market inputs with outside data providers
Created risk profile managers for traders and institutions.
Put in place real-time risk assessments and notifications
Integrated holiday calendars for precise handling of settlement dates
Post-trade processes and reconciliation that are automated
Developed blotter views that are customisable for data export and transaction tracking.
Added a theme manager to enable white-labeling.
Created a calculator for yield analysis scenario (YAS).
Constructed performance dashboards in real time.
Managed and provisioned AWS resources using Terraform
Put AWS Elastic Kubernetes Service (EKS) into practice for container orchestration
Configure Jenkins to perform automated tests and builds.
Simplified deployments using Amazon CodePipeline
For centralised logging, the ELK stack (Elasticsearch, Logstash, Kibana) was implemented.
Real-time monitoring and alerting using Prometheus and Grafana
For improved security, AWS WAF (Web Application Firewall) was implemented.
For encryption key management, Amazon Web Services (KMS) was used.
Developed a multi-region deployment strategy for disaster recovery and failover.
Auto-scaling groups were put in place to handle traffic spikes.
We set up a round-the-clock support staff with three escalation levels. The group created a knowledge base and managed incidents using ServiceNow. To continuously develop the platform, user feedback sessions and performance reviews were held on a regular basis.
Currently, the platform manages a daily trading volume of more than $50 billion across several asset classes. It has enhanced system uptime to 99.99% and shortened trade execution time by 40%. The UI's ability to be customised has increased user satisfaction ratings by 25%.
The Customer's leadership position in the financial technology industry has been established by this scalable and reliable trading platform, which has allowed them to grow their market share and offer institutional traders across the globe state-of-the-art solutions.