Our client is a systematic multi-strat hedge fund looking to expand its systematic equity effort. The fund is looking for a quantitative researcher with experience working on developing systematic stat arb equity strategies. The ideal candidate with have hands on experience in alpha research, data analysis and coding in Python and/or C++.
Role:
- Alpha generation, backtesting and implementation
- Designing and developing systematic stat arb trading strategies across global equity markets
- Working on portfolio optimisation and the enhancement of existing trading models
- Developing big data/ machine learning algorithms
Requirements:
- 3+ years experience developing systematic stat arb trading strategies in equity markets
- A MSc/PhD from a top-tier university in a quantitative subject
- A strong background in physics, mathematics and statistics, with good knowledge of statistical models and signal generation
- Proficiency in back-testing, simulation, and statistical techniques
- Proficiency in Python and/or C++
- CQF preferred