Quantitative strategy and system development.
Risk Management including time series analysis, calibration, and back testing.
Masters or PhD in Applied Finance, Mathematics, Physics, or Computer Science.
Strong knowledge of statistical modelling concepts and techniques.
Strong understanding of derivatives, volatility markets, and a range of other asset classes.
Competent in at least one programming language.