Quantitative Credit Analyst

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 700,000 - 900,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd seeks a Group Credit Investment (GCI) Quantitative Credit Analyst to develop and maintain internal credit rating scorecards and support credit assessment with quantitative analyses. You will work with fundamental analysts to calibrate models, test assumptions and ensure robust governance of scoring methodologies.

Responsibilities include identifying risk drivers, conducting scenario analyses, and contributing quantitative papers for credit committees.

Qualifications

• Degree with substantial quantitative content in statistics, mathematics, econometrics, actuarial science, engineering, quantitative finance, business science or equivalent.
• 2-3 years of relevant experience in quantitative modelling and statistical analysis.
• Programming capability in Python, R or equivalent analytical language, with strong Excel and financial modelling skills.

Responsibilities

• Develop, maintain and enhance internal credit rating scorecards.
• Translate risk drivers into scoring frameworks for credit assessment and monitoring.
• Test scorecard performance, back-testing and benchmarking; address data limitations and expert judgement.

Skills

Python/R

Excel

SQL

Quant modelling

Statistical analysis

Data analysis

Credit risk

Model governance

Education

Quantitative degree (statistics/math/econometrics/actuarial/quant finance)

Tools

Git

Version control

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 Role details: The Group Credit Investment (GCI) Quantitative Credit Analyst is a quantitative specialist embedded in the Credit Team, responsible for the development, maintenance and enhancement of internal credit rating scorecards. The role translates financial and non-financial risk drivers into practical, transparent and robust scoring frameworks that support consistent credit assessment and monitoring across the GCI investment credit portfolio. Working closely with fundamental credit analysts, the incumbent contributes quantitative analysis where it can strengthen the assessment of a counterparty, transaction or credit risk question. This includes testing assumptions, analysing sensitivities and interpreting model outputs, with clear explanations of their implications and limitations. Quantitative tools inform, rather than replace, fundamental credit judgement

Key Result Areas

Rating Scorecard Development, Maintenance and Governance Take responsibility for developing, maintaining and enhancing internal credit rating scorecards, including redevelopment where existing methodologies require improvement. Work with credit analysts to identify economically meaningful financial and non-financial risk drivers, assess their relevance across sectors and counterparty types, and translate them into appropriate scoring frameworks. Evaluate variable selection, weightings, scoring thresholds and rating mappings using suitable quantitative methods and credit rationale. Calibrate models where data permits, explicitly addressing limited samples, missing data and the use of expert judgement. Test scorecard performance, stability, sensitivity and consistency; undertake back-testing and benchmarking where appropriate; and investigate rating migrations, overrides and anomalous outputs. Maintain clear methodology and technical documentation covering data sources, assumptions, calculations, testing, limitations, intended use and changes. Escalate material weaknesses and propose remediation. Maintain controlled, reproducible scorecard implementations, with input checks, calculation testing, version control and traceable changes. Improve data quality and automate inputs and outputs where appropriate. Prepare development validation andosals for the applicable review and approval processes, support independent validation, and address review findings

Targeted Quantitative Credit Analysis and Collaboration Take work with the Credit Team to define credit questions that warrant a quantitative approach, select proportionate methods and prioritise analytical work alongside the core scorecard mandate. Develop targeted scenario and sensitivity analyses, peer comparisons and statistical assessments to test credit assumptions and identify risk drivers, vulnerabilities or emerging patterns. Analyse financial statements and other relevant data as inputs to scorecards and quantitative assessments, checking data definitions, comparability, completeness and reliability. Contribute specialist quantitative analysis to credit papers and committee discussions as required. Explain findings, uncertainty and limitations in decision-useful terms, while fundamental analysts retain responsibility for the overall credit assessment and transaction recommendation. Support consistent scorecard application through practical guidance, user support and knowledge sharing. Investigate queries and challenge results that are inconsistent with the underlying credit evidence. Collaborate with the Analytics Function on shared datasets, analytical methods and implementation tools, agreeing interfaces and avoiding duplication of work

Qualifications, Skills and Experience

A degree with substantial quantitative content in statistics, mathematics, econometrics, actuarial science, engineering, quantitative finance, business science or an equivalent discipline. 2-3 years of relevant experience Demonstrable applied experience in quantitative modelling, statistical analysis and working with financial data, including testing assumptions and communicating model limitations. Practical programming capability in Python, R or an equivalent analytical language, together with strong Excel and financial modelling skills. Experience with SQL, reproducible analytical workflows and version control would be advantageous. Sound understanding of financial statements, credit risk, investments and fixed income instruments, sufficient to develop and interpret economically meaningful credit models. Experience in credit rating scorecard development, calibration, performance monitoring, model documentation or implementation would be advantageous, particularly in corporate or investment credit and data-constrained environments. A relevant postgraduate qualification, CFA or CA(SA) would be advantageous where supported by demonstrable quantitative modelling and programming capability

Competencies

Strong quantitative reasoning and ability to select methods appropriate to the credit question and available evidence. Credit and commercial judgement connect model design and outputs to the underlying economics and practical investment context. Critical thinking and constructive challenge: tests assumptions, interrogates unexpected results and avoids false precision. Technical discipline and attention to detail in data preparation, coding, calculations, testing and documentation. Ownership and delivery independently progress scorecard development and maintenance, resolve issues and escalat material concerns promptly. Clear written and verbal communication, including the ability to explain quantitative findings and limitations to non-specialist stakeholders. Collaboration and service orientation, working effectively with fundamental credit analysts, the Analytics Function and model reviewers. Strong planning and prioritization, balancing ongoing scorecard responsibilities with targeted analytical requests and multiple deliverables. Professional integrity, respect for confidential information and adherence to model governance and approval boundaries. Practical problem-solving, continuous learning and a focus on reliable, usable tools that improve credit decision-making

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 Cultivates Innovation Manages Complexity Optimizes Work Processes Situational Adaptability Strategic Mindset

Education

Education NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent 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