Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailNot Disclosed
Salary Not Disclosed
1 Vacancy
This is an opportunity for a QUANTITATIVE PORTFOLIO MANAGER to lead the automation and scale of passive investment strategies at one of South Africas top asset managers. Youll help manage billions in domestic and global index-tracking portfolios improving performance reducing tracking error and enabling smarter tech-driven operations at scale.
Based in CAPE TOWN this QUANTITATIVE PORTFOLIO MANAGER role is paying R700-R900K.
THE COMPANY:
This is a specialist technology-led asset management company offering multi-management index-tracking and investment administration solutions across both institutional and retail markets. With a focus on long-term investment retirement and savings products they use innovation to streamline how portfolios are built managed and scaled. Their client-centric model prioritises transparency cost-efficiency and data-driven decision-making delivering consistent and scalable growth solutions through advanced investment infrastructure.
THE ROLE:
As Quantitative Portfolio Manager you will lead the automation and scaling of passive investment strategies within a high-performing Passive Investment team. Youll manage equity index portfolios across local and global markets while improving the technical infrastructure that supports them.
Working closely with the Head of Passive youll help shape how index-tracking strategies are executed by enhancing the tools data pipelines and workflows that drive them. This includes:
This is a chance to blend portfolio management with systems innovation making a measurable impact on the performance and efficiency of a leading passive investment platform.
THE REQUIREMENTS:
Minimum 5 years experience in investment management data science or portfolio analytics (ideally with passive strategies).
Quantitative degree or professional qualification (CFA or actuarial track preferred).
Strong Excel and database capabilities.
Programming experience in Python or R advantageous
Required Experience:
Manager
Full Time