Second-year Economics & Mathematics student at Royal Holloway, University of London, targeting a career in Sales & Trading at a top-tier investment bank. I build systematic trading infrastructure, publish market analysis via Waverham Capital, and manage a live ISA portfolio with publicly documented investment theses.
I'm a second-year BSc Economics and Mathematics student at Royal Holloway, University of London, with a target first-class degree and a focused path toward Sales & Trading at a Tier 1 investment bank.
My work spans quantitative research, algorithmic systems, and financial content. Through Waverham Capital I publish daily market analysis, SEC filing breakdowns, and macro deep-dives on Substack. I maintain a live ISA portfolio with publicly documented investment theses — because conviction without skin in the game means nothing.
Alongside my studies I manage operations for a £3M+ residential property portfolio at Urban Housing, processing £250K+ in monthly transactions and presenting data-driven insights to senior management. I've competed in the CME Group Trading Challenge (top 25/124 globally) and completed the AmplifyME Finance Accelerator across 12 front-office simulations.
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UK student financial survival tool built in React Native / Expo. Implements budgeting algorithms and data visualisation to surface actionable spending insights. Published on the App Store via TestFlight with affiliate monetisation through Amazon Associates and Awin (Vodafone, Railcard, Wise).
Systematic trading infrastructure executing around macro events (CPI, NFP, FOMC). Python + Alpaca API + PostgreSQL pipeline. Backtested across 6+ months of historical data. Real-time market data ingestion with full risk management framework.
Managed a diversified futures portfolio across commodities, equities, and rates. Volatility-adjusted position sizing with systematic risk frameworks under competitive time pressure. Finished in the top 20% of participants worldwide.
Hull Tactical S&P 500: Developing ensemble ML models (LightGBM, Ridge) to forecast weekly market direction. NFL Big Data Bowl 2026: LSTM trajectory prediction on player tracking data; RMSE ~0.009.
Daily market analysis, macro deep-dives, and SEC filing breakdowns published via Substack and X. Growing subscriber base tracking equity markets, geopolitical risk, and commodities with a systematic editorial schedule.
Hover each card to see my key takeaway. These aren't just titles — they directly shape how I think about markets and risk.
The S&P broke its 200-day MA for the first time since May following tariff renewal. Friday was a record volume day. Here's what the market is telling us and why this week's data calendar is the most consequential we've had in months.
An Israeli operation against Iran sent oil markets into convulsion. The conventional crisis trade failed — buy gold, sell equities. Here's why, and what actually worked for the traders who got it right.
20% of global seaborne oil transits Hormuz daily. With Iran-Israel tensions escalating, the risk premium being priced by futures markets still looks too cheap. Here's the disruption scenario the market isn't modelling.
Open to Spring Week and Summer Internship opportunities in Sales & Trading. Always happy to connect with traders, researchers, and people obsessed with markets.