Global Hedge Fund | Shanghai / Hong Kong / Singapore
A leading global hedge fund is looking to hire a Quantitative Researcher for its growing investment team in Asia. The successful candidate will conduct alpha research and develop systematic trading strategies across liquid markets, working closely with experienced portfolio managers, researchers and engineers.
Key Responsibilities
- Conduct quantitative research to identify and validate new alpha signals.
- Develop systematic trading strategies using large and complex financial datasets.
- Build and improve research frameworks, backtesting tools and portfolio construction models.
- Evaluate strategy performance, robustness, capacity and transaction costs.
- Work closely with portfolio managers and traders to bring research ideas into production.
- Monitor existing strategies and investigate changes in performance or market behaviour.
- Explore alternative datasets and new modelling techniques to enhance the investment process.
Requirements
- Master's degree or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering or another highly quantitative discipline.
- Strong programming skills in Python; experience with C++ or another high-performance language would be advantageous.
- Solid understanding of statistics, machine learning, optimisation and time-series analysis.
- Experience conducting quantitative research using financial or alternative datasets.
- Strong analytical and problem-solving skills, with the ability to translate research into implementable trading strategies.
- Prior experience at a hedge fund, proprietary trading firm, asset manager or investment bank is preferred, although exceptional candidates from academic or technology backgrounds will also be considered.
- Good communication skills and the ability to work effectively in a collaborative research environment.
What the Fund Offers
- Opportunity to join a well-established global investment platform.
- Access to extensive datasets, advanced research infrastructure and strong engineering support.
- Close collaboration with senior investment professionals.
- A research-driven environment with the resources to develop and deploy systematic strategies.
- Competitive compensation aligned with experience and investment impact.
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