Quantitative Researcher/Developer, Systematic Equities
Job Description: Quantitative Researcher/Developer, Systematic Equities
Job Description
Quantitative Researcher as part of a small, collaborative trading team with a focus on systematic trading strategies in equities markets.
Location
Hong Kong, Singapore, and Tokyo
Principal Responsibilities
- Work alongside the Senior Portfolio Manager on alpha research and development, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic equity strategies
- Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
- Work on sophisticated python-based software tools and libraries
- Write neat, modular code on a jointly owned codebase of significant size and complexity
- Collaborate with the Senior Portfolio Manager in a transparent environment, engaging with the whole investment process
Preferred Technical Skills
- Strong programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environment
- Masters or PhD degree in STEM field from a top ranked university
- Demonstrate excellent communication, analytical and quantitative skills
Preferred Experience
- 3-10 years of experience in quantitative equity trading for EM, with a focus on Asian markets
- Practical experience in financial data processing, alpha research, and back testing
- Experience building and working with large data sets
Highly Valued Relevant Experience
- 3-10 years of experience working in a quantitative research/development capacity in a systematic trading environment with product experience in statistical arbitrage strategies or equivalent sell-side experience and a focus on Asia markets
- A surface level familiarity with C++ would be valued
Target Start Date
- As soon as possible
- Open to 3-6 month NCA for exceptional candidates
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