Quantitative Analyst at FNB South Africa

Job Description

• To plan, build, optimize, and implement innovative quantitative analytical methodologies, procedures, products, and advanced mathematical models that provide analytical support across various functions, with a primary focus on the Customer Value Management (CVM) team within the Forex Product House.
• This includes developing, executing, and analysing data-driven campaigns and triggers that drive customer engagement, value growth, and retention. Interpret insights to address business opportunities as well as challenges and implement business strategies with minimal guidance. Primary focus on campaign lift analysis, lead generation, data preparation, trigger development, and the continuous optimization of initiatives.
• Take necessary actions to ensure compliance with relevant statutory, legislative, policy, and governance requirements in the area of accountability.
• Implement and maintain relevant policies, governance, and practice standards across the business.
• Maintain expert knowledge of legislative amendments, industry best practices, and internal compliance procedures.
• Identify risks and provide input into the development of governance and compliance processes within the area of specialization.
• Innovate by finding optimal solutions that result in more efficient outcomes.
• Maintain ownership of models through regular audits and updates to ensure relevance, and challenge current models to ensure accuracy of outputs.
• Use data and analytic insights to improve customer experience and identify monetisation opportunities, while monitoring the implementation of business decisions to recommend enhancements through statistical modelling and data analysis.
• Validate, interpret, and create reports and presentations for data analytics management and relevant stakeholders. This includes reports on campaign performance and insights for future strategies.
• Review and assist junior Quantitative Analysts/Data Scientists with processes and models.
• Adhere to model building policies, standards, frameworks, and governance processes, ensuring ethical usage of information in compliance with privacy and sensitivity classifications.
• Report any Information Privacy Incidents and escalate appropriately for resolution.
• Provide input into delivery plans for achieving outputs/deliverables in collaboration with business stakeholders, defining metrics that track performance.
• Assist in analysing available data to identify unexplored information commercialization opportunities.
• Support the productionalisation of analytics within the approved FirstRand architecture by translating technical data into practical business information.
• Analyse information requirements, availability, and quality of data for management resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative, or econometric techniques.
• Collaborate with various departments to ensure proper use of data for desired operational results and participate in projects related to the business's analytical needs.
• Act as a Subject Matter Expert (SME) for analytics, applying an understanding of business operations.
• Determine business questions and appropriate analytics models for utilization.
• Source and prepare relevant data for analysis, translating business requirements into tangible models that reflect the value of projects and processes.
• Translate Customer Value Management (CVM) business requirements into data-driven campaign logic and targeting strategies. This includes developing and maintaining target rules, segmentation logic, and prioritisation frameworks.
• Develop and apply analytical algorithms and methods to build, test, and implement robust mathematical models and solutions that address business problems, improve outcomes, and facilitate strategic decision-making.
• Document and audit relevant processes, and conduct data manipulation and analysis to proactively meet business needs, ensuring high information quality and reliability.
• Build relationships to manage expectations, share knowledge, and create buy-in.
• Engage in cross-functional relationships to provide and obtain work support. This includes working closely with CVM teams, product owners, segment heads, data engineers and business analysts to align analytics outputs with business objectives.
• Identify, control, and escalate potential risks that may lead to increased costs, and deliver against operational and cost targets.
• Identify opportunities to improve campaign logic, triggers, data pipelines, and analytical approaches.
• Prioritise resource allocation to minimize wastage and assess performance through seeking timely feedback and requesting training where appropriate.

Experience and Qualification Required

• 3+ years’ experience within data, analytics, or advanced analytics environment.
• Relevant Degree in a quantitative discipline such as Econometrics, Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Engineering or a related field.
• Proven practical coding experience in one or more relevant programming or analytical languages (e.g. SAS, SQL, Python, R), including data extraction, transformation, analysis, and model development.
• Exposure to Customer Value Management (CVM), marketing analytics, or lead generation (advantageous).

End Date: January 29, 2026