Graduate Quantitative Investment Analyst

Recruiter:

Rory Mackie & Associates

Job Ref:

4227428664

Date posted:

Saturday, October 25, 2025

Location:

Cape Town, South Africa

SUMMARY:
-

POSITION INFO:

Overview:

Our client is a financial services provider, managing close to R20 billion in assets under management across South Africa and offshore.

They are seeking an analyst to work closely with the team, supporting the portfolio efforts for their multi-manager portfolios.

The ideal candidate will be passionate about statistics, data analytics and programming in Python. This opportunity offers the ideal entry experience for anyone seeking to start their career as a quantitative analyst.

Responsibilities:

Develop a deep understanding of the team’s models, fundamental research inputs, portfolio specific guidelines and objectives to determine implications for investment strategy
Contribute to research and implementation of alternative risk and dynamic asset allocation across asset classes, such as equities, bonds, currencies, and commodities
Review portfolio positioning across accounts and identify trades/rebalancing needs to bring portfolio into alignment with current strategy
Perform ad-hoc research projects related to the market environment, portfolio design, and strategy implementation that will have a meaningful impact on portfolio decisions
Provide data and communication support to business development and client group teams that explain our investment thesis and resulting portfolio positioning

Requirements:

Degree in either Statistics, Mathematics, Financial Risk Management, Data Analytics and Quantitative fields
Studying towards CFA may be an advantage
May have zero to three years working experience within an asset management environment
An interpersonally engaging temperament, comfortable interacting with individuals across the business and with clients and working in a fast-paced environment
Highly analytical with a passion for Python programming
Working autonomously within the team while defining a clear path for personal development
Ability to program and work with large data sets in any of the commonly used statistical packages (Python)

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