Mathematics @ University of Edinburgh · building toward quant research · Python / C++
Maths undergraduate working in quantitative finance — options pricing, stochastic volatility, and machine learning for markets. Member of EUTIC Quant (selected ~30 from 300+ applicants). Aiming for quant research; interested in high-frequency trading and derivatives modelling.
Black-Scholes, from academic to applicable — a research project improving BS option pricing with stochastic volatility (Heston) and ML-predicted frictions, validated on real SPX options data across high- and low-volatility regimes.
| Project | What it is |
|---|---|
| Greeks-Calculator-Sensitivity-Analysis-Toolkit | Vectorised Black-Scholes Greeks and an implied-vol solver on real SPX options data; volatility-smile fitting and sensitivity analysis across VIX regimes |
Python (NumPy · pandas · SciPy · scikit-learn · LightGBM) · C++ · Git

