MiFID II: Data Streaming for Post-Trade Reporting

MiFID II, effective from January 2018, expanded European post-trade transparency requirements by requiring financial institutions to report more transaction data across equity and non-equity instruments within tight deadlines, including one minute for equity trades and five minutes for non-equity trades. These rules increase data volumes, require integration of heterogeneous data from multiple trading systems, and demand real-time transformation, validation, and standardized formatting before submission to reporting bodies. The text argues that data-streaming architectures using Apache Kafka and Apache Flink can address these challenges by processing events continuously, scaling across variable workloads, and separating data producers from consumers. In a case study, a European multinational bank replaced batch-based processing that took up to 15 minutes with a Confluent-based event-driven platform that ingests trade data from varied systems, enriches and validates it using reference data and business rules, maintains schemas through Schema Registry, and supplies compliant reporting applications with trade events within seconds.

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