Susquehanna International Group is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. We are currently seeking an extraordinary Machine Learning Data Scientist to join our Statistical Arbitrage team in Sydney.
Contribute techniques from machine learning towards improved automated trading systems.
You will work with traders, quants, software developers in a highly focused team building, deploying and improving automated trading systems. This team researches, implements, tests, deploys and monitors proprietary systems trading across multiple markets and financial products. We work at all levels of the problem domain from market data handlers through trade monitoring.
Your role within the team will be to bring your machine learning expertise to bear on all aspects of the trade pipeline. You must have the ability to build models for high-frequency asset price prediction, to analyze the resulting trades, and to build models for better understanding of latency implications, etc. You must be able to explain clearly your ideas and results to the rest of the team.
This will require working with C++ and/or python systems to extract the data you will require.
What we’re looking for
- Practical experience in the application of ML.
- M.S./Ph.D. in Computer Science/Statistics or equivalent experience.
- Comfortable programming C++ and/or python in a Linux environment.
The ideal candidate has developed real-world ML applications and has a strong interest in finance and trading.
You must have full working rights in Australia to apply.