Markets & Quantitative Research
Testing strategies, forecasts and pricing systems with causal timing, stronger baselines and genuinely unseen data.
About
A background built across science, finance and quantitative technology.
A progressively broader toolkit for understanding evidence, financial outcomes and the systems that connect them.
The thread
From finance to quantitative work
Finance exposed me to questions I wanted to understand more quantitatively, so I deliberately added statistics, programming and machine learning to an existing financial foundation.
Biochemistry developed evidence-based thinking and comfort with complex systems. EY and ICAS added accounting, controls, valuation and professional responsibility. The MSc added the tools to build and challenge quantitative models directly.
Career & study
Explore each stage. EY and ICAS formed the professional foundation, while the MSc, Fortis and Unisen now overlap as current and recent tracks.
Core interests
Three connected areas that shape the work and questions I pursue.
Private Markets & Credit
Connecting business performance to cash flow, capital structure, downside protection and investor returns.
Applied AI & Data
Building systems that reduce repetitive analytical work while keeping source evidence and professional judgement visible.
Outside work
Outside work
Builds, Japanese jujitsu, strength training, swimming and archery.
Outside work