C++, Python, Equity Volatility, Macro, Pricing Models, Quant Research
McGregor Boyall are partnered with a leading hedge fund expanding their Macro Trading Team which a focus on Equity Volatility.
The role centers on developing sophisticated local and stochastic volatility implementations while spearheading their C++17 to C++20 modernization initiative. You'd be building real-time P&L attribution systems and risk engines that directly support portfolio managers trading complex equity derivatives and volatility indices.
Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products.
This role requires 4 days onsite in Central London.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.