Quantitative Analytics Manager: Group Stress Testing

Johannesburg, South AfricaFull-timeSeniorOn-sitePosted 28 Oct 2026

Job Overview

Nedbank is appointing a Quantitative Analytics Manager in Group Stress Testing in Johannesburg (requisition 147967; Group Finance – BSM COE, Group Capital Management and Stress Testing; Data and Analytics job family, Quantitative career stream; Manage Others; reporting to the Head of Group Stress Testing; closing 6 November 2026). The role leads the development, governance, implementation and enhancement of best-practice quantitative models and stress testing methodologies, with direct accountability for the Group’s central macroeconomic stress testing model (MEFM), quarterly and ad hoc stress testing, climate-risk scenario analysis and regulatory or industry-wide stress tests.

Beyond its specialist stress-testing mandate, the role provides quantitative, analytical and execution support across the Group’s capital risk management – ICAAP, capital planning, risk appetite, recovery and resolution planning – and presents results to Group ALCO, GRCMC, executive management, Board committees and regulators. It combines deep quantitative expertise, strong programming capability, people leadership, stakeholder influence and disciplined execution, and also runs the secretariat of the Stress Testing Technical Forum.

Key Responsibilities

Lead design, development, implementation and monitoring of stress testing models within MEFM (regression, panel-data econometrics, VAR and other forecasting techniques)
Define modelling standards, review and challenge team members’ technical work and contribute hands-on coding, prototyping and testing
Oversee quarterly and ad hoc MEFM execution and lead delivery of regulatory stress tests incl. the SARB Common Scenario Stress Test
Steer climate-risk stress testing and scenario-analysis capability and research emerging methodologies
Contribute to ICAAP, capital planning, risk appetite calibration, recovery and resolution planning with robust analytics
Maintain model and process governance – documentation, version control, testing, issue management and model-risk remediation
Support independent model validation, internal and external audit and regulatory reviews
Present stress testing results to Group ALCO, GRCMC, executive management, Board committees and regulators
Investigate machine-learning and data-science techniques where explainable and governable
Provide secretariat support to the Stress Testing Technical Forum and lead and develop the team

Required Qualifications

Honours degree or equivalent postgraduate qualification in quantitative finance, financial mathematics, statistics, econometrics, actuarial science, data science or related field; Master’s preferred
FRM and/or CQF regarded as key differentiators; CFA, data science or AI/ML qualifications advantageous
At least 6 years’ quantitative analytics experience in financial services – risk modelling, stress testing, forecasting or capital management
At least 6 years’ practical programming with strong Python plus R, MATLAB, SAS or SQL
At least 3 years managing, leading or formally overseeing quantitative professionals or teams
Experience developing, governing and explaining models and engaging senior management, committees, regulators, auditors and model validation
Knowledge of banking regulation, prudential capital frameworks, ICAAP, risk appetite and climate-risk stress testing

Skills & Requirements

Stress TestingMacroeconomic ModellingEconometricsVector AutoregressionICAAPCapital ManagementClimate Risk Scenario AnalysisModel Risk GovernancePythonFRM/CQFRegulatory ReportingQuantitative Leadership