Oxford Knight is seeking a alpha-strategy-focused Python Quant Researcher to join its new Volatility Alpha Development team in London. You’ll build a Vol Alpha library for PMs, collaborating with portfolio managers, quants and data scientists to expand systematic volatility capabilities.
The role emphasizes strong Python skills (2–6 years), experience in equity derivatives, vol surface fitting and backtesting, and clear communication with business stakeholders. Hybrid working possibilities apply.
#J-18808-LjbffrEquity Volatility Quant Researcher - Python & Backtests employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
