Quantitative Researcher / Data Scientist – Volatility & Options
Core
Develop quantitative models, predictive signals, and systematic options strategies to support global volatility trading.
Role type
Quantitative Researcher / Data Scientist (Volatility & Options)
Builds
Alpha-generating signals and trading frameworks for volatility trading strategies
Domain
Financial services / Quantitative finance / Derivatives
Deliverable
production ML models
Required skills
Python, statistical modelling, machine learning, time-series analysis, backtesting, options pricing, volatility modelling
Preferred skills
C++, Go, alternative data
Technologies
Python, C++, Go
Responsibilities
Develop quantitative models and predictive signals; Research volatility surfaces, event-driven volatility, and options pricing; Build and enhance backtesting frameworks and datasets; Apply machine learning to identify trading opportunities; Collaborate with portfolio managers on strategy development and risk management.
Seniority
Mid-Senior, hands-on IC