Quantitative Analyst - Early-Career in Global Markets

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 700,000 - 1,000,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd in Cape Town is seeking a Quant Analyst to develop and implement complex quantitative models and analytical strategies for local and global capital markets within a dynamic investment team.

The role emphasizes maintaining models, data analytics, and tool development for portfolio construction, with a strong focus on big data analytics, programming, and clear English communication.

Qualifications

• Graduate qualification in commerce or science, with 3–5 years of industry experience.
• Strong quantitative skills and Excel proficiency; programming in an investment setting is a plus.
• Understanding of financial analysis and modelling; strong reasoning and numerical ability.
• Excellent English communication, written and verbal.

Responsibilities

• Maintain, run and evolve the quant elements of existing models and processes.
• Assist with fund manager style and skill analysis including holdings-based analysis.
• Build and maintain quant-based analysis tools per asset class with automatic reporting.
• Create an optimisation workspace for portfolio construction as a starting point.
• Assist data mining and analysis for strategic value add and insights.
• Produce portfolio review analyses such as POD analysis and risk decomposition.
• Collect and maintain relevant strategy data and coordinate with data team.

Skills

Quantitative skills

Programming

Data analytics

AI knowledge

Communication

Education

BCom

BSc

B.Bus.Sci

Tools

Excel

Job description

Old Mutual Life Assurance Company (SA) Ltd in Cape Town is seeking a Quant Analyst to develop and implement complex quantitative models and analytical strategies for local and global capital markets within a dynamic investment team.

The role emphasizes maintaining models, data analytics, and tool development for portfolio construction, with a strong focus on big data analytics, programming, and clear English communication.