Join a highly respected institutional investment organisation and help shape investment strategy through quantitative research, asset allocation and portfolio insights.
This is an outstanding opportunity for an experienced investment professional with strong quantitative capability, multi-asset investment experience and a genuine passion for investment strategy, portfolio construction and asset allocation.
The opportunity
Working within a specialist investment team, you will contribute to strategic and dynamic asset allocation, quantitative research and investment decision-making.
You’ll collaborate with experienced investment professionals, contribute to innovative investment thinking and help solve complex institutional investment challenges across a diverse range of asset classes.
This can be a Melbourne or Sydney based role.
What you will be doing
- Contribute to the development of strategic and dynamic asset allocation decisions.
- Develop and enhance quantitative models, analytical tools and investment frameworks.
- Apply quantitative analysis to support investment strategy and portfolio decision-making.
- Translate complex data and analysis into practical investment recommendations.
- Support portfolio construction and asset allocation decisions across multi-asset portfolios.
- Present investment insights and recommendations to clients and key stakeholders.
What you will bring
- Experience within investment management, funds management, institutional investing or a related investment environment.
- Strong knowledge of multi-asset investing, portfolio construction and asset allocation.
- Advanced quantitative, analytical and problem-solving skills.
- The ability to interpret complex investment information and communicate clear recommendations.
- Excellent written and verbal communication skills.
Other desirable experience
- Exposure to quantitative modelling, data science, automation or AI-enabled research techniques.
- CFA qualification or progress towards completion.
- Postgraduate qualifications in Finance, Statistics, Mathematics, Engineering or a related discipline.
If you are interested in this role, get in touch with David May at [email protected]
