Alan Campbell, Bloomberg
In the world of financial systems, data is everything, but not all data is created equal and not all systems are built to handle its volatility. At Bloomberg Engineering, managing market data is a uniquely complex challenge. This plenary will dive into how as Reliability Engineers we build, monitor and evolve our systems to ensure high quality data delivery amidst the chaos of global markets.
We’ll ask the uncomfortable question: what if we didn’t catch it? Through real-world scenarios, we’ll highlight the cost of bad data: from regulatory risk, wasted engineering hours and eroded customer trust.
From the daily issues like file delays, malformed data, and repeated deliveries to the abnormal market occurrences that cause excess load and bespoke handling; there are many tools and techniques familiar to Reliability Engineers that can contribute to the delivery of quality data.
Join us to discover how Reliability Engineers at Bloomberg handle these challenges.
Alan Campbell is a Reliability Engineering Team Lead with over 12 years of experience. He began his career at Bloomberg as a full-stack engineer, developing in Java, Python and JavaScript, before transitioning into the SRE space. In his current role, he focuses on defining and maintaining SLOs, implementing anomaly detection, scaling systems, and conducting performance testing. Alan also configures, deploys and maintains monitoring and observability tools such as Prometheus, OpenTelemetry, and Grafana to ensure Bloomberg’s systems meet the highest standards of reliability and availability.
author = {Alan Campbell},
title = {Reliability in Finance: Delivering Quality Market Data at Scale},
year = {2025},
address = {Dublin},
publisher = {USENIX Association},
month = oct
}