Data Scientist II at FNB South Africa

Job Description

Hello Data Science II.

• Welcome to FNB, the home of the #changeables. We design for the shapeshifters and the game changers. As part of our talent team at FNB Loans, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious.
• Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Are You Someone Who Can

• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• Provide input into creation of delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Assist in analysis of available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Assist in productionilisation of analytics 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 management for resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilize as appropriate.
• Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
• Participate in relevant project related to the businesses overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• Document and audit relevant processes.
• Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Engage in cross-functional relationships to obtain and to provide work support.
• Identify, control and escalate potential risks which may lead to increased costs.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, and clear feedback and request training where appropriate.
• Ensure ethical use of information, comply with privacy requirements, and report and escalate privacy incidents appropriately.
• Translate business requirements into models, develop and apply analytical algorithms to build and implement solutions, and document and validate models for specific business needs.
• Review and assist junior analysts, adhere to policies, and maintain model relevance through regular updates.
• Optimize processes for cost savings, revenue generation, and efficiency improvements, ensuring accuracy and relevance of outputs.

Qualifications and Experience

• Minimum Qualification: Mathematical/Analytical/Actuarial Science B.Sc. Degree or B. Com Degree
• Other related qualifications: Engineering and Computer Science
• Preferred Qualification: Honours Degree
• Experience: A minimum of 3 years’ experience with 1 or 2 years in a credit risk analytics environment.
• Tech Stack: SAS, SQL, Teradata, PowerBI programming preferable
• Advantageous Tech Stack: Python, R
• Good communication skills
• Good interpretation skills
• Quantitative and analytical skills

You will have access to

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

We can be a match if you are / have

• Analytical
• Adaptable and curious
• Thrive in a collaborative environment
• Conceptual and Big Picture Thinking
• Strategic Thinking

End Date: July 19, 2025