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My client is a systematic trading house operating globally. They trade all liquid products including Cash Equities, Futures and Volatility across exchanges globally.
They leverage some of the best proprietary infrastructure and trading platform to develop absolute return strategies across all time horizons.
My client has most interest in candidates from the mid-frequency space but does have competitive intraday and HFT technology.
Successful candidates are expected to have a long running track record of trading strategies they're able to recreate or reproduce. They will further work with researchers and developers to generate new trading strategies.
Traders are expected to have generated significant pnl over the last 3 years while implementing a strict risk management system.
The successful candidate will sit within a team alongside a senior portfolio manager and work collaboratively to generate new trading ideas.
Masters or PhD from a leading university in a highly quantitative field
Successful track record (min 3 years) of trading scalable systematic strategies
Experience within the Mid Frequency space (up to 4 weeks)
Highly proficient with coding in C++, Java, C# or Python
Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines.