Segantii Capital Management is an institutional asset management firm, established in Hong Kong in 2007. The company invests globally and deploys a multi-strategy investment approach.
Responsibilities
- Conduct research and development of systematic equity trading strategies. This includes but not limited to:
- Data cleansing/analysis
- Alpha signal research
- Back-testing
- Portfolio construction and implementation
- Further build and improve on research framework and systems
- Work and collaborate with other Quant Researchers/Developers on research and strategies
Ideal Profile
- Experience in quantitative research, preferably within a buyside environment with a focus on statistical arbitrage learning techniques
- PhD or Masters in a relevant quantitative subject, e.g. Computer Science, Applied/Financial Mathematics, Quantitative Finance, Statistics or related field
- Strong programming skills (Python and other languages)
- Knowledge of portfolio optimization and transaction cost models
- Strong communication skills
- Driven and self-motivated