I lead engineering teams that build and scale production AI and data systems for institutional finance-grounded in a decade of quantitative research.
"His leadership in problem management and consistent success in exceeding Service Level Agreements showcased his dedication to excellence."
"I was consistently impressed by Henry's exceptional leadership skills, especially during a very stressful period of the SPACE project."
"Highly respected and sought out — not just within our team but across other lines of business. Someone I am always learning from."
Production data platforms at enterprise scale — orchestration, observability, and SLA-governed delivery in regulated financial environments.
Production AI for data operations — anomaly detection, predictive issue management, and policy-bounded agent architectures with human-in-the-loop governance.
Quantitative modelling grounded in a PhD in econometrics — Data Envelopment Analysis, causal identification, and innovation-efficiency measurement.
ESG and supervisory data systems — from £180bn AUM portfolio-risk reporting to €7m central-bank regulatory data transformation across the Eurosystem.