Title:  Quantitative Analyst

Join Nedbank’s Quantitative Analytics team and help solve complex business challenges using data, advanced analytics, and innovative modelling techniques. This is an exciting opportunity to build your expertise alongside experienced quantitative professionals, work with cutting-edge technologies, and contribute to data-driven decision-making that shapes the future of banking.

Domain and Technical Expertise

• Acquire and continuously develop/improve deep expertise in banking products, services and risk management.
• Acquire and continuously develop/improve deep domain expertise in quantitative analytics and their application across various risk types and specialised functional.
• Conduct research and analysis to build, maintain and continuously refine mathematical and statistical models and quantitative solutions.

Collaboration and Development

• Leverage mentorship and guidance from Senior Quantitative analysts and the broader quantitative teams regarding best practices and research to calibrate and validate model and quantitative solution components.
• Collaborate with senior quantitative analysts to commercialise quantitative models and embed them into production systems.

Model Design and Development

• Contribute to the build and maintenance of domain specific models and quant solutions (e.g. credit, pricing, market risk, trading, liquidity, impairments).
• Apply statistical and machine learning techniques to extract insights and improve model performance.
• Ensure accuracy and stability of quantitative solutions and models (and or contributions) while considering the business impact.
• Contribute to testing of components of complex quantitative solutions using multiple testing methods (e.g. back testing, stress testing, unit testing, integration testing, system testing, regression, black box, sanity, conformance, acceptance, forward etc.).
• Analyse quantitative solutions or statistical models (e.g. machine learning, NLP, etc.) outputs using various techniques and methodologies.
• Engineer and validate large datasets for model consumption, ensuring quality and integrity.

Documentation, Governance and Insight Generation

• Translate quantitative solutions and model outcomes into actionable business insight and prepare communications (reports, presentations, etc.) tailored to different audiences to enable support and decision making.
• Work within and across quantitative teams to document models, assumptions, methodologies, and other artefacts ensuring validity, reliability and explainability in the commercial and regulatory context within which the organisation operates.
• Produce high-quality model documentation of methodologies, assumptions, and data lineage to support reperformance, audit trail as well as regulatory and internal governance requirements.

Delivery management

• Work and collaborate within and across teams, senior analysts and digital/technology teams to develop, maintain, enhance and deploy scalable models.
• Support senior analysts and broader quantitative teams in the business change management and capability development processes related to the deployment of model/quantitative solutions.
• Ensure agile delivery, cross functional collaboration and deployment readiness of models.

• 0 (Graduate) - 3 Years experience
• Some experience or exposure in a data driven/analytical environment advantageous.
• Some experience or exposure to any quantitative analytics or related research (even at tertiary level acceptable) is preferred. Exposure to banking regulations, accounting standards and/or financial accounting (e.g. financial statements, financial ratios, budgets, forecasts, interest rate theory, etc) preferred but not essential.
• Ability to translate mathematical / statistical models and algorithms into code (e.g., Python, R, C++, Java, SQL, SAS, VBA, MATLAB, etc.)
• Ability to independently deliver on tasks in a high-pressure environment.
• Excellent analytical skills, with strong attention to detail.
• Strong communication capabilities including visualisation.
• Ability to translate complexity into simplicity.