About#
I research topics in global macroeconomics and finance, with data and code.
I am passionate how bringing data and technology to financial and economic research, and building technical systems that can be used to inform both analysis and decision-making. As a software engineer in trading technology, I develop data-intensive batch-processing systems that inform trading decisons at the UK’s largest bank, developing across a stack including Python, C#, Microsoft Azure, and Google Cloud Platform.
My research here covers both technical notes and applications. Recent areas include:
Python code samples to remove race-conditions in batch-processing workflows that rely on message buses.
Assessing the relationship between LLM assessments of global macroeconomic news and the global financial cycle.
Applying my open-source getBISy Python SDK to the dynamics of cross-border flows during the Great Financial Crisis 2007-08.