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