Senior Quantitative Researcher
1 week ago
Role and Responsibilities
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
Requirements
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.
Attributes
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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