Data Scientist

Job Description

To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.

Hello future Data Scientist!

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our Cash Investments Team, 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. 

Are you someone who can:

• Conduct pricing related operations, analytics, projects and insights as part of the pricing team
• Build, test and maintain analytical models that improve business outcomes.
• Translate business questions into clear analytical solutions and insights.
• Source, clean and prepare data for analysis, ensuring quality and reliability.
• Deliver analytics outputs within approved architecture and document models and processes.
• Test model accuracy, update models regularly, and challenge results for relevance.
• Identify optimisation opportunities that reduce cost, risk or improve efficiency.
• Work collaboratively with stakeholders and act as a developing analytics SME.
• Adhere to model building policies, standards, frameworks, and governance process.
• Adhere to data privacy, governance and ethical standards; escalate risks appropriately.
• Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification Implement and adhere to Privacy business requirements, legislation and policy.
• Report Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection.
• Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Follow set 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.
• Participate in productionilation 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.
• 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 business's overall analytical needs and opportunities.
• Participate as SME for analytics applying own understanding of the operations of the business product or service.
• Assist in determining the business questions that need be answered and determine appropriate analytics models for utilisation Source and extensive preparation (50%) of relevant data sources for analysis.
• Translate business requirements into tangible models utlising own understanding of the business value of projects, models and processes.
• Develop and apply analytical algorithms and methods to build, test and implement robust mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimised efficiency and to facilitate strategic decision-making.
• Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
• Document and audit relevant processes.
• Document and implement models to address specific business requirements.
• Perform against predicted results and deliver according to set processes and procedures.
• Plan and perform regular model updates that capture evolving business complexity in current models Challenge current models to ensure relevance and accuracy of outputs.
• Test outputs and accuracy of models to ensure relevance.

You will be an ideal candidate if you have:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Actuarial Science, or a related quantitative discipline is preferred.
• 1-3 years of experience in an analytical, data-driven, or modelling role.

You will have access to:

• Opportunity to work in a leading financial services company.
• Challenging Working
• Opportunities to innovate
• Collaborative and inclusive work environment.
• Continuous learning and professional development opportunities

Are you interested to take the step? We look forward to engaging with you further. Apply now!

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Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

26/03/26