Senior Quantitative Analyst

In brief

**Overview** This role at NedBank is for a Senior Quantitative Analyst within the Home Loans and Motor Finance Corporation portfolios. The primary purpose is to transform advanced portfolio insights into actionable business strategies aimed at fostering profitable growth, ensuring healthy credit outcomes, and enhancing customer loyalty and retention. The position demands a blend of hands-on quantitative analysis, strategic thinking, effective stakeholder influence, and people leadership to identify opportunities, mitigate emerging risks, and support data-driven decision-making throughout the secured lending value chain. **What you will do** * Analyse secured lending portfolio, profitability, customer behaviour and credit outcomes to identify emerging risks and commercial opportunities. * Translate complex analysis into clear, practical recommendations for senior leadership and decision-making forums. * Develop and evaluate portfolio strategies covering profitable growth, risk-adjusted returns, customer loyalty, retention, switch attack and switch defence. * Assess campaigns, pricing and policy changes, business initiatives and portfolio optimisation opportunities through robust pre- and post-implementation analysis. * Build accurate, complete and reproducible analyses, reporting and decision-support tools; automate recurring processes where appropriate. * Partner across Secured Lending Leadership, Credit, Pricing, Acquisitions, Impairments, Collections, Finance, and Product. * Lead, coach and develop one analyst while strengthening team capability through knowledge sharing, constructive review and on-the-job guidance. * Operate with a high level of independence. * Support the business strategy, values, transformation goals and continuous improvement agenda through credible analysis and effective stakeholder engagement. * Increase efficiencies through programming and automating processes. * Enhance business efficiencies and ensure compliance through formal communications and interacting with external bodies. * Challenge model builds from around the cluster through peer review participation and ensuring best practice. * Take corrective action where risk is identified in any processes; models or reporting; through analysis and formal communication. * Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers. * Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames. **Requirements (from the original advert)** * **Essential Qualifications - NQF Level:** Professional Qualifications/Honour’s Degree * **Preferred Qualification:** Postgraduate degree in Statistics, Mathematics, Actuarial Science, Engineering, Economics or related quantitative field. * **Minimum Experience Level:** * 5–7 years’ relevant quantitative or analytical experience * Exposure to credit, portfolio management or risk analytics * Experience using analytical tools such as SAS, Python or SQL * Stakeholder management experience across various levels * **Technical / Professional Knowledge:** * Strong track record of statistical modelling, forecasting, and quantitative analysis * Proficiency in at least one programming language: Python, R, C++, Java, SQL, SAS, VBA, MATLAB, with the ability to design, translate, and implement mathematical or statistical models into flexible, scalable and production-ready code * Technical understanding of risk management models (e.g., PD/LGD, VaR, Expected Shortfall, EPE/PFE) * Technical understanding of accounting standards * Exposure and technical understanding of the full model lifecycle * Technical understanding of testing methods and types (e.g., stress testing, back-testing, regression, performance, system, and unit testing) * Familiarity, exposure and technical understanding * Exposure and Technical understanding to AI/ML techniques and model explainability tools (e.g., SHAP, LIME, etc.) * Familiarity with cloud-based analytics platforms and deployment practices * Understanding of LLMs, generative AI and agentic AI is advantageous **Who should apply** This role is suited for a seasoned quantitative professional with 5-7 years of relevant analytical experience, particularly in credit, portfolio management, or risk analytics. The ideal candidate will possess a strong background in statistical modelling, forecasting, and quantitative analysis, coupled with proficiency in analytical tools and programming languages (such as SAS, Python, or SQL). They should have a Professional Qualifications/Honour’s Degree, with a preference for a postgraduate degree in a quantitative field. The role requires someone capable of translating complex analysis into practical business strategies for senior leadership and adept at managing stakeholders across various levels. Leadership experience, including coaching and developing junior analysts, is essential. The candidate should be highly independent, driven, and committed to continuous improvement, possessing strong communication, decision-making, and strategic influence skills. Familiarity with AI/ML techniques, cloud analytics platforms, and an understanding of advanced AI concepts are beneficial. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/senior-quantitative-analyst-nedbank-49 Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 5 years of experience.

• Python
• Java
• C++
• SQL

Extracted automatically from the advert; confirm requirements on the original listing.

Job description

Before you apply

• Confirm the requirements and closing date on the original listing (myjobmag). SPANi lists vacancies from other sites and may not reflect last-minute changes.
• Legitimate employers do not charge application, registration or training fees.
• Don't send your ID or bank details before you have confirmed the employer is real.

How to spot a job scam

Before you apply

• Read the full advert and confirm you meet the minimum requirements before applying.
• Tailor your CV headline and most recent experience to the job title and key skills.
• Note the closing date and reference number, and keep a copy of what you submit.
• Apply only through the employer or job board link — never pay to apply.