Senior Quantitative Researcher
1 week ago
- Lead and conduct quant research activities in areas such as factor modeling, security selection, portfolio risk and construction, transaction cost modeling and attribution
- Gain a good understanding of the discretionary equity investment process and develop suitable quantitative analytics and inputs to augment the process and improve outcomes, in collaboration with the discretionary equity team
- Productionise and integrate quantitative analytics and tools into the investment process and workflow
- Provide quantitative research and analysis support to the discretionary equity investment team
- Champion the use and adoption of quantitative analytics and tools in the discretionary equity investment process
- Develop dashboards and visualisations relevant to support the equity investment process
- Contribute to client marketing efforts as and when required
- Recruit, manage and mentor junior team members as and when required
- Participate in the development of high quality data infrastructure and reporting capabilities including shared code libraries
- Actively lead and participate in regular quant team meetings
- Participate in regular discretionary equity team meetings when appropriate
- Lead and/or participate in adhoc projects as and when required
- Eight or more years relevant industry experience in quantitative equity investment research and portfolio management (additional experience in other assets classes a plus)
- Master's or PhD degree in quantitative field such as engineering, physics, applied mathematics, statistics etc
- CFA is a plus
- Passion and enthusiasm for quantitative research and investment management
- Good general understanding of global financial markets and specific equity asset class expertise
- Experience working with dynamic discretionary equity strategies and investment processes (long-short and absolute return strategies an advantage)
- Good understanding and practical application of equity factor risk models (eg. Barra, Axioma)
- Good understanding and practical application of portfolio risk analysis and risk and return attribution
- Experience with market, industry, style, company and equity security analysis
- Strong programming ability in Python and SQL
- Experience creating and using data visualisation tools (eg. PowerBI, Tableau)
- Experience with version control systems and DevOps tools (eg. Git, Bitbucket)
- Experience with workflow management tools (eg. Prefect, Airflow)
- Knowledge and application of machine learning and LLMs a plus
- Fluent in spoken and written English and Chinese. We need a good command in Chinese language to correspond with our HQ in both Hong Kong and Shanghai.
- Collaborative and enjoys working in a team but also able to work well independently
- Entrepreneurial and energetic self-starter
- Well-organised with good attention to detail
- Articulate, good written communication ability and good interpersonal skills
- Broad-minded and open to debate and challenge
- Intellectually curious and innovative
- Diligent with strong sense of responsibility
- Good project and time management ability
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