- 🎓 T-Level Finance (final year) at The Manchester College
- 💼 Summer Analyst (Customer Financial Assistance) at Lloyds Banking Group – June to August 2025
- 🎯 Career goal (2026 intake): Quant researcher / trading developer at investment banks or hedge funds
- Programming & Data: Python (
pandas,NumPy,matplotlib), SQL (beginner), scikit-learn (learning) - Finance Knowledge: Derivatives, market microstructure, risk management basics, statistical arbitrage
| Project | What it shows |
|---|---|
| Limit Order Book Simulator | Event-driven Python simulator with matching engine, latency metrics, and micro-price visualisation |
| Pairs Trading Engine | Back-tested 10 years of FTSE-350 data, finding cointegrated pairs and reporting Sharpe ratio, max drawdown, turnover, and underwater plots |
| FX Arbitrage Dashboard | Real-time Covered Interest Parity (CIP) tracker with OANDA API, forward-rate deviation monitoring, PnL simulation, equity curve visualisation, and Slack alerts |
| FX Hedging Demo (Forwards & Options) | Python case study of a €1m exposure: payoff tables, forward vs option decision metrics, breakeven analysis, and client-style chart outputs |
| Options Greeks Calculator | CLI + plotting tool for Black–Scholes option pricing and Greeks (Delta, Gamma, Vega, Theta) across underlying price and time-to-expiry |
| Total Return Swap Case Study | Structured case-study project explaining TRS mechanics, counterparty exposures, valuation under different scenarios, and its role in market risk management |
| Risk Frameworks: VaR & Stress Testing | Python model calculating historical Value-at-Risk (95% & 99%) and Expected Shortfall for a £1m GBP/USD portfolio, with stress testing (–10%, +15%, and worst-day scenarios) and a one-page client-style report |
(Repositories are being pinned as they go live — each project includes full reports and visualisations.)
I’m a blitz chess enthusiast (competed in local tournaments) and a calisthenics devotee (handstand push-ups in progress).
I value focus, discipline, and continuous improvement — whether on the trading desk, chessboard, or in the gym.
- 📧 Email: [email protected]