Senior Credit Quantitative Specialist

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 1,200,000 - 2,200,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd is seeking a Senior Credit Quantitative Specialist to own and govern the group’s credit risk modelling across shareholder exposures. You will lead validation, develop model governance, and provide management with quantitative analyses to inform investment and capital decisions.

You will apply models to investment and retail credit exposures, generate consolidated risk views, and run ORSA stress scenarios, engaging with multiple business units and

Qualifications

• Strong quantitative and credit risk modelling expertise.
• Experience applying quantitative models to investment transactions.
• Experience with Moody's RiskFrontier or equivalent platforms.
• Ability to communicate complex analysis clearly.

Responsibilities

• Own and maintain the credit risk modelling framework and methodology inventory.
• Apply approved models to investment credit transactions for pricing and risk analysis.
• Produce Moody's RiskFrontier outputs for consolidated credit risk views.
• Interpret model outputs, concentrations and risk trends for governance forums.
• Execute ORSA credit stress scenarios within agreed timelines.
• Validate GCI-owned credit models and report findings.

Skills

Adaptive Thinking

Change Management

Data Compilation

Engineering Standards

Executing Plans

Numerical Aptitude

Portfolio Management

Communication Skills

Financial Acumen

Education

Honours or Masters degree in Actuarial Science, Statistics, Mathematics, Applied Mathematics, Quantitative Finance, Financial Engineering, Econometrics, Operations Research or Engineering

Tools

Moody's RiskFrontier

Python

SQL

Job description

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

The Senior Credit Quantitative Specialist is GCI's senior technical specialist responsible for the ownership, governance and application of credit risk modelling across OMLACSA shareholder credit exposures. The role leads quantitative analysis of investment credit transactions, modelling of retail and investment credit exposures, consolidated portfolio risk assessment and management interpretation to support investment, capital and risk decisions. It also supports implementation of related systems and is responsible for validation of GCI-owned credit models. The incumbent is accountable for the effective operation and ongoing suitability of GCI's credit risk modelling framework, including approved model applications, transaction analysis, modelling of shareholder credit exposures in Moody's RiskFrontier, portfolio aggregation, stress testing and management interpretation. This requires deep theoretical knowledge and practical quantitative expertise to understand model construction, interrogate methodologies, data and outputs, and identify limitations or unsupported judgements. The role additionally performs validation of GCI-owned credit models, covering risk-based scoping, testing, reporting, governance engagement and remediation follow-up. Model owners remain accountable for model development, implementation, monitoring and remediation. The role is GCI's primary subject matter expert on credit risk modelling and portfolio analytics, engaging with investment teams, relevant business units, Group Risk, Group Actuarial, Finance and technology stakeholders. For its validation mandate, the role engages with model owners, developers, Internal Audit and the Models & Methods Committee.

Key Result Areas

Own GCI's credit risk modelling framework, including its methodology inventory, approved applications, data requirements, operating controls, documentation and ongoing fitness for purpose. Assess whether model performance, portfolio changes, new risks or changes in use require model recalibration, enhancement, redevelopment or replacement, and refer the required work to the accountable model owner or developer for action. Apply approved models within GCI's risk modelling software to proposed investment credit transactions, producing quantitative analysis to support credit assessment, pricing, structuring, risk‑adjusted return analysis, capital assessment and investment decision‑making. Use retail credit exposure data owned and provided by the relevant business units, together with investment credit exposure data, to model shareholder credit exposures in Moody's RiskFrontier and produce a coherent, consolidated view of credit risk across OMLACSA portfolios. Interpret model outputs, portfolio concentrations, capital consumption, risk‑adjusted returns and emerging risk trends for management and governance forums. Execute the ORSA credit stress scenarios, assess the impact on GCI's investment credit exposures, and provide management with clear interpretation of the results, key drivers, assumptions and limitations. Credit Model Validation Plan and execute risk‑based validations of GCI‑owned credit models. Assess conceptual soundness, assumptions, data, implementation, controls and fitness for use. Document independent conclusions, limitations, conditions of use and required remediation. Report material findings to governance forums and monitor remediation to closure.

Systems Development and Implementation Support

Support the design and development of GCI systems, tools and data solutions by translating quantitative, model risk and control requirements into clear functional and technical requirements. Engage with business users, model owners, developers, data teams and technology stakeholders throughout requirements definition, solution design, testing, implementation and post‑implementation review. Review system designs, data flows, calculations, interfaces and controls to assess whether approved methodologies and validation requirements have been implemented accurately and are auditable.

Measurable Role Outcomes

Maintain an effective, well‑governed GCI credit risk modelling framework that remains fit for purpose and supports timely management decisions. Deliver accurate, timely and decision‑useful quantitative analysis of investment credit transactions, supported by appropriate checks, reconciliations and transparent documentation. Produce reliable and timely Moody's RiskFrontier outputs that provide a consolidated view of credit risk across OMLACSA portfolios, subject to the quality and completeness of data supplied by the relevant business units. Execute approved ORSA credit stresses within agreed timelines and provide clear management interpretation of results, key drivers, assumptions and limitations. Deliver agreed quantitative, model risk and control requirements for systems initiatives and support successful testing and implementation. Complete the approved validation plan for GCI‑owned credit models within agreed timelines and quality standards. Issue clear validation findings and monitor remediation to timely closure, escalating overdue or inadequately addressed matters through the appropriate governance forums.

Qualifications and Experience Required

Honours or Masters degree in Actuarial Science, Statistics, Mathematics, Applied Mathematics, Quantitative Finance, Financial Engineering, Econometrics, Operations Research or Engineering. Minimum of 8–12 years' experience in quantitative credit analysis, portfolio and capital modelling, structured credit, model application, model development, model validation or related fields. Prior model‑development experience is advantageous because it provides the practical depth required to understand and challenge existing models. Strong experience applying quantitative models to investment transactions and analysing retail, corporate, structured and portfolio‑level credit exposures, including cash‑flow analysis, stress testing, risk‑adjusted returns, economic capital, exposure aggregation and concentration risk. Experience using Moody's RiskFrontier or a comparable credit portfolio modelling and economic capital platform will be advantageous. Advanced Excel capability and practical proficiency in Python, SQL or comparable quantitative data‑analysis tools will be advantageous. Experience supporting systems development or transformation initiatives involving quantitative models, data integration, requirements definition, testing, reconciliation, implementation assurance or risk reporting is strongly preferred. Experience independently validating quantitative credit models and presenting material findings through formal governance processes is preferred.

Competencies

Strong quantitative and credit risk modelling expertise. Commercially relevant interpretation of model outputs. Sound independent judgement and professional scepticism. Constructive, evidence‑based technical challenge. Consistent modelling and validation governance discipline. Clear communication of complex analysis and risk implications. Effective prioritisation and reliable delivery. Effective stakeholder engagement and management of validation independence.

Skills

Adaptive Thinking, Change Management, Data Compilation, Engineering Standards, Executing Plans, Legal Practices, Managerial Accounting, Numerical Aptitude, Policies & Procedures, Policy Development, Portfolio Management Competencies Builds Effective Teams Business Insight Collaborates Communicates Effectively Drives Results Drives Vision and Purpose Ensures Accountability Financial Acumen

Closing Date

02 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.

The Old Mutual Story

Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.