Forex Post-Trade System

Danske Bank’s legacy foreign exchange post-trade system was to be re-implemented as microservices in an effort to increase scalability and maintainability. I initially joined the project as an IT Student as I applied this technological transition as a case study for my M.Sc. thesis. Once I graduated and got promoted, my responsibilities shifted: main responsibilities became development of microservices, infrastructure, and DevOps; additionally I took on responsibility for architecture the final year, focusing on robustness, uniformity, and performance.

The system handled all FX trades from market-facing systems and allowed traders to e.g. manage trades & positions, book new trades, and get price quotes all via a desktop UI. Mainly residing in the mainframe and a single monolithic service, the legacy system was to be split into several message-oriented and containerized microservices. I was a key individual in this transition and besides developing business functionality, I also ensured effectiveness of the system as well as the team through development of CI/CD, monitoring, libraries, and tools. Furthermore I led the effort of stabilizing the system for production and simplifying its operation by utilising Danske Banks internal cloud services, swapping out developed utility-services with standard solutions, and aligning technologies across services.