Quantitative Analytics Manager: Group Stress Testing

About this role

Nedbank is looking for a Quantitative Analytics Manager for its Group Stress Testing team in Johannesburg. The role sits in the Group Capital Management and Stress Testing function and reports to the Head of Group Stress Testing.

You will lead the group’s main macroeconomic stress testing model, run regular and ad hoc stress tests, and support capital risk work across the bank.

What you’ll do

• Lead the design, build, monitoring and improvement of stress testing models, including the MEFM model, and set the modelling standards your team follows.
• Review and challenge the technical work of your team, and make sure models meet governance and quality requirements.
• Oversee the quarterly and ad hoc runs of the MEFM model, and the delivery of regulatory and industry-wide stress tests such as the SARB Common Scenario Stress Test.
• Guide the bank’s climate-risk stress testing and scenario analysis work.
• Support ICAAP, capital planning, risk appetite, recovery and resolution planning with analysis and stress test insights.
• Present stress testing results to senior management, governance committees, the Board and regulators.
• Run the secretariat for the Stress Testing Technical Forum, including agendas, minutes, meeting packs and the action log.
• Lead, coach and develop a team of quantitative analysts, including performance management and succession planning.

What you need

• An Honours degree or equivalent postgraduate qualification in a quantitative field such as quantitative finance, financial mathematics, statistics, econometrics, actuarial science or data science.
• At least 6 years of quantitative analytics experience in financial services, covering risk modelling, stress testing, forecasting, capital management or a closely related area.
• At least 6 years of programming experience, with strong Python skills and experience in one or more of R, MATLAB, SAS or SQL.
• At least 3 years of managing, leading or formally overseeing quantitative professionals.
• Experience building, governing and explaining models in a controlled financial services environment.
• Experience engaging senior management, governance committees, regulators, auditors or model validation teams.
• Advanced skills in Microsoft Excel, Word and PowerPoint.
• Knowledge of banking regulation, prudential capital frameworks, ICAAP and risk appetite.
• Advantageous: a Master’s degree in a relevant quantitative finance or risk discipline.
• Advantageous: Financial Risk Manager (FRM) or Certificate in Quantitative Finance (CQF). These are seen as key differentiators.
• Advantageous: CFA, data science, artificial intelligence or machine learning qualifications.
• Advantageous: Power BI or similar visualisation tools.
• Advantageous: practical knowledge of climate scenario analysis and climate-risk stress testing.

Is this job for you?

This role suits a senior quant leader who enjoys hands-on modelling and also manages people. You should be comfortable explaining complex results to executives and working closely with risk, finance and audit teams.

Tips before you apply

• Have your qualification certificates, transcripts and any FRM, CQF or other certificate records ready to upload.
• Show your years of programming and modelling experience clearly on your CV, with the models, languages and tools you used in each role.
• Give examples of teams you have led, such as team size, the development you drove and the results your team delivered.

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