Quantitative Analyst

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

Your Role In Our Future

As a Quantitative Analyst in our Liability Driven Investments (LDI) team, you’ll be part of the Actuarial, Risk and Quants (ARQ) unit. You’ll support the team in managing, valuing, and analysing liabilities, developing quantitative tools, and contributing to algorithmic techniques used in portfolio management. This role offers broad exposure across the full spectrum of the LDI business and is perfect for a collaborative, analytically-minded individual with a passion for financial markets and innovation.

What You’ll Be Trusted With

• Enhancing optimisation methodologies to generate risk-optimal portfolios.
• Valuating and measuring the risk of financial instruments and liabilities.
• Maintaining and improving ARQ’s calculation application.
• Pricing bespoke exotic instruments and liability structures, including contingent liabilities and embedded options.
• Developing and implementing quantitative projects to support advanced risk and portfolio management techniques.
• Researching and applying new or alternative quantitative investing techniques.
• Building and deploying software solutions for quantitative and workflow models.
• Mentoring junior quantitative analysts and sharing knowledge openly across the team.

Who You Are

You are an analytical problem-solver with a love for data, models, and financial markets. You bring:

• A degree in Actuarial Science / Financial Mathematics / Financial Risk Management / Computer Science or a related quantitative field.
• At least 4 years’ experience as a quantitative analyst in asset management or asset-liability management.
• Proficiency in C# and SQL, with a strong understanding of software development practices (source control, testing, code review).

You may also bring:

• An Honours or Master’s degree in financial or mathematical sciences or data science.
• Experience implementing machine learning algorithms in a financial context.
• Python programming experience.
• Familiarity with Agile software development environments.

The Strengths You’ll Bring

• Strong analytical skills and excellent attention to detail.
• A conscientious, deadline-driven work ethic.
• Agility to manage multiple deadlines in a dynamic environment.
• Problem-solving orientation with a drive to innovate.
• Self-motivation and initiative to contribute meaningfully.
• A collaborative mindset and willingness to mentor others.
• A deep passion for financial markets and investment research.

Let’s Succeed Together

At OMIG, how you work matters just as much as what you do. Our culture celebrates openness, accountability, and innovation – because that’s how we shape a bold future and wow our clients.

If you're ready to grow, lead, and make a meaningful impact, we look forward to meeting you.

Skills

Action Planning, Analytical Thinking, Analytics Software, Budget Management, Business Intelligence (BI) Analysis, Computer Literacy, Data Analysis, Data Interpretations, Data Modeling, Financial Markets, Numerical Aptitude, Problem Solving

Competencies

Business Insight

Cultivates Innovation

Manages Complexity

Optimizes Work Processes

Situational Adaptability

Strategic Mindset

Education

Bachelors Degree (B): Actuarial Science, Bachelors Degree (B): Computer Science And Engineering, Bachelors Degree (B): Financial Mathematics

Closing Date

11 July 2025 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!