- Contribute machine learning techniques to improve automated trading systems. - Work with traders, economists, and software developers in a highly focused team to build, deploy, and improve automated trading systems. - Research, implement, test, deploy and monitor proprietary trading systems across multiple markets and financial products. We work at all levels of the problem domain from market data processors to trade monitoring. - Extract the data you need using python systems; (C++ is preferred but not required)

- PhD in Computer Science/Quantitative disciplines (Statistics, Mathematics, Engineering, Physics). - Comfortable programming in Python in a Linux environment. - Has developed real-world ML applications and has a keen interest in finance and trading. - Strong interpersonal skills and ability to liaise with senior/executive trading staff. - Able to work independently and as part of a cross-functional team.