Quantitive Risk Analyst

Old Mutual is seeking a highly skilled Quantitative Risk Analyst to join their Asset & Liability Management (ALM) team within the Treasury & Financial Markets division. Based in Johannesburg, this position is central to the firm’s strategy for managing complex financial risks, liquidity, and funding initiatives across its diverse South African operations.

The ALM team operates at the intersection of quantitative finance and strategic corporate management. Successful candidates will find themselves in a high-impact environment that values technical precision, clear communication, and the ability to influence cross-functional stakeholders. If you are an experienced professional with a background in actuarial science or quantitative analysis, this role offers the opportunity to shape the financial architecture of a major financial services institution.

About the role

This role is designed for a self-starter who can manage complex projects independently with minimal supervision. You will be responsible for the end-to-end management of ALM processes, ensuring that financial reporting is accurate and timely while identifying systemic improvements. You will bridge the gap between technical data analysis and strategic decision-making, ensuring that the organisation’s liabilities are appropriately managed through robust hedging instruments.

Because the role interacts with various clusters across the business, you will need to translate sophisticated financial risks into clear, actionable insights for diverse stakeholders. This includes consolidating large data sets and presenting findings that support the leadership team in making informed market, credit, and liquidity risk decisions.

Your daily responsibilities will revolve around quantitative analysis, strategic hedge development, and product innovation. Key duties include:

• **Risk Strategy:** Design, implement, and monitor the effectiveness of ALM hedging strategies, adjusting these as market conditions evolve.
• **Quantitative Modelling:** Develop and maintain financial models to price and manage market and liquidity risks, specifically concerning guaranteed liabilities.
• **Product Development:** Collaborate on the creation of new investment products, ensuring that any market risks introduced to the balance sheet are thoroughly vetted and hedged.
• **Process Optimisation:** Drive operational excellence by refining ALM processes and improving the accuracy of liability translations.
• **Stakeholder Engagement:** Act as a central point of contact for complex financial queries, ensuring that strategy performance is clearly communicated to internal and external partners.

What they're looking for

Old Mutual requires a candidate with a strong academic foundation and a proven track record in insurance-based ALM. You should be able to navigate ambiguity and handle long-term projects—typically spanning three to six months—with a focus on accountability and delivery.

• **Education:** A relevant post-graduate degree (Master’s level/NQF 9) in Financial Engineering, Quantitative Analytics, Finance, or Actuarial Science.
• **Professional Certification:** Holding or pursuing a designation such as FASSA, FIA, CFA, CERA, or FRM is highly advantageous.
• **Experience:** At least six years of professional experience in ALM or actuarial finance, specifically within an insurance setting. Familiarity with life insurance valuations and Group Treasury activities is preferred.
• **Technical Proficiencies:** Advanced data analysis skills, including the use of BI tools, statistical modelling, and numerical data interpretation.

For those considering this path, a role of this calibre within a top-tier South African insurer often serves as a stepping stone to senior management, Head of Treasury, or Chief Risk Officer (CRO) positions. Professionals in this field command competitive remuneration packages, which typically scale significantly based on the level of professional accreditation (such as being a Fellow of the Actuarial Society of South Africa). Given the seniority and the technical nature of the work, applicants should be prepared for a rigorous interview process focusing on both technical problem-solving and the ability to articulate business strategy.

Qualifications, Skills and Experience:

• Essential: relevant post-graduate degree (e.g. Finance, Financial Engineering, Quantitative Analytics, Actuarial).
• Additional professional qualification (e.g. FASSA, FIA, CFA, CERA, FRM) advantageous.

• 6+ years' ALM and/or actuarial finance experience within an insurance entity, with a specific focus on asset and liability management and other Group Treasury activities.

• Experience in life insurance valuations/product, together with a deep understanding of financial markets, advantageous.

• Ability to work with light-touch supervision on projects or tasks.

• Strong communication skills, including an ability to explain complex concepts and key issues effectively to the broader team.

• Capacity to take accountability for complex and potentially ambiguous pieces of work.

• Able to run and manage projects with durations varying between 3 to 6 months, with a focus on remaining accountable until delivery of results.

• Dynamically responds to work requirements and changing situations.

• Pragmatic and solution-focused; able to make trade-offs balancing between deliveries and risks/costs.

• Must possess a wide range of skills and knowledge, including an actuarial background, quantitative finance, regulations and commercial acumen.

• Track record of working efficiently with seniors and subordinates, teams in and out of the organisation, and consultants to ensure delivery.
• Communicates with various role-players to obtain the appropriate level of input, buy-in and approvals for delivery.

Competencies:

• Execution

• Strategic

• Leading with Influence

• Personal Mastery (Learning)

• Collaboration (Relating)

• Innovation (Perspective)
• Customer First

 

Skills

Action Planning, Analytics Software, Budget Management, Business Intelligence (BI) Analysis, Computer Literacy, Data Analysis, Data Compilation, Data Controls, Data Interpretations, Data Modeling, Evaluating Information, Numerical Aptitude, Report Review, Solution Analysis, Statistical Analysis Techniques

Competencies

Business Insight

Communicates Effectively

Courage

Decision Quality

Ensures Accountability

Financial Acumen

Instills Trust

Manages Complexity

Education

NQF Level 9 – Masters

Closing Date

19 November 2026 , 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.

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