Specialized eFX AI Trading Quant, Vice President
- Create profitable and robust trading signals, strategies, and models to make a significant contribution to P&L targets and eFX growth
- Apply your experience with time series AI to try to solve some of our most challenging problems
- Tackle modelling and analysis challenges in Market Making, Alpha, and Benchmark execution
- Using public and proprietary data, identify new opportunities to generate P&L
- Develop research all the way from prototype to production
- Analyse the behaviours of production trading models on an on-going basis, looking for areas of improvement
- Share your expert AI insights and guidance with eFX colleagues
- Creative thinkers who are motivated by challenging (stochastic, non-stationary, non-linear, partially observed, very low SNR) problems
- A firm understanding of why just throwing data at say TensorFlow libraries doesn't work
- A healthy scepticism about the robustness and generalisability of in-sample results
- A working habit of first investigating simpler, parsimonious models
- Desire to work within a collaborative, team-driven environment
- Post-graduate degree in a quantitative discipline (engineering, statistics, mathematics, physics, or similar)
- Experience of a fast prototyping language such as Python (preferably), or Matlab, R, etc..
- Working knowledge of an industrial scale language such as Java or C++ is a plus
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