Data Scientist I at FNB South Africa

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.
• Innovate to improve customer experience by continuously looking for better and more efficient ways of doing things Be flexible and adapt to changing circumstances.
• Deliberately seek diverse opinions, build on ideas and do not duplicate effort.
• Participate in the innovation process in the business and contribute toward new innovations against objectives.
• Execute own work in accordance with the organisational values and code of ethics.
• Comply with and adhere to identified governance and compliance standards and escalate problems for investigation and resolution.
• Identify and escalate risk as normal part of work.
• Adhere to model building policies, standards, frameworks, and governance process.
• 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.
• 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.
• 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.
• Grow own understanding of relevant information management processes and methods.
• Grow own understanding of business value of projects, models and processes.
• Identify and escalate potential risks which may lead to increased costs.
• Adhere to standards and procedures to reduce costs Identify process improvements to save costs.
• Establish relationships with relevant individuals and departments to deliver on work expectations Adhere to relevant service level agreements to build trust in the relationship.
• Interact positively with groups or teams inside and outside of own area Contribute and participate to establish a learning and growth culture where information is actively shared.
• Address customer needs in order to meet or exceed customer expectations.
• Build and maintain stakeholder relationships.
• Assess own performance through seeking timely and clear feedback and request training where appropriate.
• Demonstrate teamwork as a valued team player.

Qualifications and Skills required

• Bachelor's degree in mathematics, Statistics, Finance, Economics, or a related field.
• 1-3 years of experience in quantitative analysis role
• Proficiency in SAS.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Pro-active thinker and problem solver.
• Strong attention to detail and ability to manage multiple projects simultaneously.

End Date: July 25, 2025