Quantitative finance & systems — building market-making infrastructure ahead of reading Computer Science & Mathematics at Durham.
Incoming first-year student at Durham University, joint honours Computer Science & Mathematics (G411), starting autumn 2026. Spending my gap year on independent quantitative-finance and technical projects — theory through to implementation — while preparing spring-week applications in quant trading & research, sales & trading, commodities trading, and equity research.
A market-making simulator implementing Avellaneda-Stoikov mechanics with probabilistic fill modeling. Built from the ground up in C++ (CMake / MSYS2 UCRT64), with multiple trader strategies — market-making, random, and momentum — a probabilistic fill model and price model on separate RNG streams, and per-trader performance metrics. My primary quant-finance portfolio project.
Independent research into optimal execution and market-making theory, grounded in the original Avellaneda-Stoikov (2008) framework — the theoretical companion to OrderbookSim's implementation.
View on GitHub ↗Commodities (oil, metals) and geopolitics-driven macro; a developing semiconductor / energy / AI-infrastructure equity thesis.
IT infrastructure automation, alternative data (satellite / SAR), and self-study in complex analysis.
Competitive sprint breaststroke, national-level times (50m SCM ~29.04s, 100m SCM ~1:04.22).
Track sprinter (200m / 400m), training on a strength-first sprint methodology.