Responsibilities:
- Building deep fundamental understanding of arbitrage relationships between securities
- Researching automated arbitrage trading strategies using a range of historical fundamental data, price and volume inputs
- Researching portfolio construction and risk allocation techniques
- Back-testing ideas using historical tick-by-tick data
- Implementing promising strategies into the live market in our low latency environment
- Evaluating strategy performance, making improvements and scaling up successful strategies
- Responsible for the end-to-end PNL and risk management of the strategy
Skills Needed:
An ideal candidate will have the following skillset:
- Top performer with a computer / electrical engineering degree from a top-tier institution
- Strong programming ability in Python
Didn’t find the job appropriate? Report this Job