Data Scientist_III at WesBank

• We're looking for a seasoned Data Science III to revolutionize our data utilization. You'll be responsible for building, optimizing, and implementing innovative quantitative analytical methodologies, procedures, products, and advanced mathematical models for our Business Pricing Model. You'll provide analytical support and interpret insights to address business opportunities and problems and implement business strategy with minimal guidance. You'll manage an analytics team, streamline processes, and ensure compliance with privacy requirements. Your role includes integrating analytics into operations, developing core capabilities, and driving performance. Join us to lead data-driven strategies and enhance our business outcomes. 

Are You Someone Who Can 

• Engage in cross-functional relationships to obtain and to provide work support. 
• Senior Analyst with strong technical expertise in Credit Acquisitions with the ability to uplift overall analytical capability.
• Optimise Credit Policy rules and strategies using PD, LGD and EAD models to balance growth, profitability and risk appetite.
• Support Credit Risk Appetite Setting and governance through active participation in the Credit Risk Management forums and Policy Committees 
• Leading strategy change initiatives including change management in the credit assessment system.
• Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain. 
• Establish goals and strategies for area of accountability in collaboration with senior data analytics management. 
• Ensure ethical usage of information that complies to restrictions applied for privacy and sensitivity classification. 
• Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy. 
• Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit. 
• Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments. 
• Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities. 
• Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability. 
• Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance. 
• Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check. 
• Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options. 
• Ensure analytics productionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs. 
• Analyse information requirements, availability and quality of data to feed into Data and information management function and forums for resolution. 
• Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business. 
• Integrate analytics into operational processes to improve efficiency and client experience. 
• Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques. 
• Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities. 
• Serve as SME for analytics applying own understanding of the operations of the business product or service. 
• Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis. 
• Address business problems and opportunities through robust underlying analytics. 
• Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes. 
• Ensure accurate development and application of analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision making. 
• Provide requirements to Business Information. 
• Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset. 
• Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements. 
• Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk. 
• Maintain ownership and oversee the implementation of models. 
• Monitor output and accuracy of models. 
• Ensure the documentation and auditing of relevant models, projects and processes. 
• Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation. 
• Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques. 
• Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization. 
• Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner. 
• Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders. 
• Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results. 
• Model and drive a data driven culture that values data as an asset with business value. 
• Lead relevant change and communications functions to drive functional maturity. 
• Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence. 
• Prevent wastage and identify process improvements to contain and reduce costs. 
• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability. 
• Ensure implementation of relevant policies, governance and practice standards across the business. 
• Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements. 
• Ensure compliance is adopted in terms of systems and procedures as laid out by business. 
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks. 
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in. 

You Will Be an Ideal Candidate If You Have 

• Mathematical/Analytical/Actuarial Science B.Sc. degree or B. Com degree with: 
• 5 – 8 years’ experience in an analytical and/or modelling position 
• 3 years in a management role leading a team (Non-Negotiable) 
• Data science and big data knowledge preferable 
• Pricing experience, added advantage 
• Good communication skills 
• Quantitative and analytical skills 
• Financial modelling skills 
• SAS, Python, SQL, Teradata, PowerBI programming preferable 
• Good interpretation skills 

You will have access to 

• Opportunities to network and collaborate 
• A challenging working environment 
• Opportunities to innovate 

Deadline:14th March,2026