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Job summary
A leading investment firm in the UK is seeking a Volatility Quant Researcher to conduct in-depth research into volatility dynamics and develop systematic trading models. The role requires strong programming skills and expertise in options pricing and volatility modeling. Ideal candidates should have 2–7 years of relevant experience in hedge funds or derivatives research. Competitive compensation and opportunities for collaboration with PMs and risk managers are offered.
Qualifications
2–7 years’ experience in a leading hedge fund, prop firm, or derivatives research desk.
Deep understanding of options pricing, volatility modelling, and quantitative methods.
Strong communication skills and a collaborative mindset.
Responsibilities
Conduct research into volatility surface dynamics and implied vs. realised relationships.
Develop and back test systematic signals, risk premia, and execution models.
Work alongside PMs and risk managers to enhance portfolio construction and hedging frameworks.
Build tools for signal generation, model calibration, and trade idea testing.
Collaborate with engineering and data science teams for live trading deployment.
Skills
Options pricing
Volatility modeling
Quantitative methods
Strong programming ability (Python, C++ or similar)
Strong communication skills
Education
Advanced academic background in a quantitative discipline (Maths, Physics, Statistics, CS, or Engineering)
Job description
A leading investment firm in the UK is seeking a Volatility Quant Researcher to conduct in-depth research into volatility dynamics and develop systematic trading models. The role requires strong programming skills and expertise in options pricing and volatility modeling. Ideal candidates should have 2–7 years of relevant experience in hedge funds or derivatives research. Competitive compensation and opportunities for collaboration with PMs and risk managers are offered.