
Advanced Quantitative Researcher
10 hours ago
We are seeking an experienced Quantitative Researcher to lead and conduct advanced research activities in quantitative equity investment and portfolio management.
The successful candidate will have a strong background in quantitative research, including factor modeling, security selection, portfolio risk and construction, transaction cost modeling, and attribution.
They will also be able to develop suitable quantitative analytics and inputs to augment the discretionary equity investment process and improve outcomes, in collaboration with the discretionary equity team.
The researcher will productionise and integrate quantitative analytics and tools into the investment process and workflow, providing quantitative research and analysis support to the discretionary equity investment team.
Main Responsibilities:
- Lead and conduct advanced quant research activities in areas such as factor modeling, security selection, portfolio risk and construction, transaction cost modeling, and attribution
- Develop suitable quantitative analytics and inputs to augment the discretionary equity investment process and improve outcomes
- 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
To be considered for this role, you will need to have the following skills and qualifications:
- Eight or more years relevant industry experience in quantitative equity investment research and portfolio management
- Master's or PhD degree in a quantitative field such as engineering, physics, applied mathematics, statistics, etc.
- CFA is a plus
- Possession of 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 (e.g. Barra, Axioma)
- Good understanding and practical application of portfolio risk analysis and risk and return attribution
- Strong programming ability in Python and SQL
- Experience creating and using data visualisation tools (e.g. PowerBI, Tableau)
- Experience with version control systems and DevOps tools (e.g. Git, Bitbucket)
- Experience with workflow management tools (e.g. Prefect, Airflow)
We offer a competitive salary and benefits package, including:
- Collaborative and dynamic work environment
- Opportunities for professional growth and development
- Flexible working arrangements
- A range of employee benefits, including health insurance, retirement savings plan, and paid time off
We are an equal opportunities employer and welcome applications from all qualified candidates. If you are passionate about quantitative research and investment management, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity.
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