Role:
*Using the firms automated trading framework to research and apply strategies
*Using progressive statistical approaches to analyse data and ascertain opportunities for trading
*To build upon and develop strong understanding of market structures of the various exchanges and asset classes.
*Pre market - checking that all required data and processes are ready.
*During market - sporadically monitoring behaviour and performance of strategies.
Ideal Candidate:
*Quantitative background - including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University.
*Programming proficiency with at least one major programming or scripting language (Python, C++, and R).
*Strong communication skills and ability to work well with colleagues across multiple regions.
*Ability to perform well under pressure.
*Detail orientated