Customer
Large investment firm, focused on high-net worth investor services with 30+ years history, 80 000+ clients.
Challenge
Necessity to process, settle and report large amount of trades (approx. 1 million trades a day) given sophisticated products, commission accrual rules, trading schemas and tough regulatory requirements.
Project Results
Custom highly performant engine based on microservices architecture and in-memory complex event processing approach (Apache Flink platform).
Business value
Resolved performance issues related to legacy trade processing systems, increased agility and short release cycle thanks to scalable and robust architecture.
Tech Stack
Apache Flink, Kafka, PostgreSQL, Kubernetes.
Large investment firm, focused on high-net worth investor services with 30+ years history, 80 000+ clients.
Challenge
Necessity to process, settle and report large amount of trades (approx. 1 million trades a day) given sophisticated products, commission accrual rules, trading schemas and tough regulatory requirements.
Project Results
Custom highly performant engine based on microservices architecture and in-memory complex event processing approach (Apache Flink platform).
Business value
Resolved performance issues related to legacy trade processing systems, increased agility and short release cycle thanks to scalable and robust architecture.
Tech Stack
Apache Flink, Kafka, PostgreSQL, Kubernetes.