Experienced Quantitative Analyst/Developer with a demonstrated history of working in the financial services industry. Particularly strong experience in Structured Equity Derivatives, with extensive experience in alternatives (hedge funds, ILS).
Wide ranging technical skills with a particular focus on Python (Pandas, numpy, scipy), SQL and C#, but also experience in R, Bloomberg, Factset, and presentation tools such as PowerBI.
Extensive experience working with large data sets and automation of complex models, subscription-based market data, PnL calculation/automation, benchmarking, hedging and risk modelling (statcap calculation).
Educational background in Applied Finance and Software Engineering. Keen sportsman having played GHFA & ESFA premier league football, local second grade cricket.