Capital Markets

FinTech and capital markets infrastructure scales differently from SaaS. One burst of compute for a regulatory simulation, a market data replay, or a VaR calculation can double your monthly cloud bill for a single day. The cost spikes are not from gradual usage growth — they come from unpredictable operational events. We have built and operated FinOps programmes at tier-one banks and hedge funds. Here is what works for financial services environments where cost governance must coexist with competitive speed. ...

If you have ever operated a FIX engine in production, you know that the standard is not standard. Every exchange speaks a slightly different dialect of FIX 4.4. The same tag can mean different things on different venues. Session disconnect recovery differs between CME and LSEG. Drop copy behaviour varies between brokers. We have certified and deployed FIX engines across ICE, CME, LSEG, Eurex, and crypto venues. Here are the patterns that work in production and the ones that cause the most incidents. ...

Cloud costs in capital markets are uniquely difficult to manage. A single trading desk might run FPGA instances for low-latency execution, GPU clusters for quantitative research, and standard compute for risk calculations — all on the same cloud account. Without granular cost allocation, the CFO sees a single cloud bill with no visibility into which desks, strategies, or research projects are consuming which resources. FinOps is the practice of bringing financial accountability to cloud spending. In capital markets, this means mapping every dollar of cloud cost to a specific business outcome: a trading strategy, a research project, a regulatory requirement. Without this mapping, cloud costs grow unchecked and optimisation efforts are misdirected. ...

The belief that cloud cannot deliver sub-millisecond trading latency is outdated. The constraint is not the cloud provider — it is how you architect within the cloud. Firms that treat AWS, GCP, or Azure as a data centre with better networking get data-centre performance. Firms that treat the cloud as a programmable substrate get latency numbers that surprise their counterparties. We have deployed trading systems on AWS and GCP that consistently achieve round-trip latencies under 500 microseconds for order-to-acknowledge paths. The architecture is fundamentally different from on-premise trading infrastructure, but the performance is comparable. ...