To apply, click on the link at the end of the posts and all the best with your applications

Data Engineer II

Job Description

To ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Hello Future Data Engineer II

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 eBucks our 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:
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Conduct research on emerging technologies. Recommend and implement technologies that improve cost effectiveness and systems flexibility.
• Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements
• Assist with gap analysis and business cases including cost and effort analysis.
• Implement the necessary components and frameworks required for automated deployments and task scheduling.
• Build unit and systems tests to ensure successful delivery of components into production.
• Manage the user acceptance testing UAT and associated signoff through change control.
• Acquire and collect data via ETL (Extract, Transform and Load) processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to the appropriate data platform standards.
• Integrate data from multiple sources through the enterprise data platform architecture to meet the business objective.
• Develop and maintain the physical data marts and databases.
• Automate tasks related to data pipelines for the deployment of operational analytics.
• Prepare and provision data for advanced analytical modelling by data scientists (as and when applicable).
• Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems.
• Create change scripts and sets scripts up to be ready and implemented in production.
• Participate in architecture forum (as and when required).
• Utilise various components and tools which make up the data platform for enhanced service delivery.
• Create requirements and design of the technical architecture, Design and development, testing, and deployment of theproposed solution.
• Work with Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of our IT data analytics platform.
• Learn from the Subject Matter Expert on technical environment or tools for own area of expertise.
• Provide Analytic infrastructure or big data technologies related support to Data operations and Analytic teams.
• Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools.
• Assist and work on projects to roll out and support to team members.
• Participate in planned activities that are appropriate for own development.
• Develop, encourage and nurture collaborative relationships across area of specialisation.

• You will be an ideal candidate if you:

• Preferred Qualification: 
• Degree in Computer Science or related degree
• Experience:
• 4+ years Data Management, Maintenance and Security
• Ab-initio (Advantageous)
• SAS
• Big data (extraction/loading)
• Reporting (Advantageous)
• Control-M (Advantageous)

• You will have access to:
• Opportunities to network and collaborate.
• Challenging work environment.
• Opportunities to innovate.

• We can be a match if you are: 
• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to do it.

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.07/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Click here to apply

Junior 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.

• 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.

Qualification and Experience

• 1-3 Years experience in a Data Science Role
• Bachelor of Science Degree or Relevant Degree

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.07/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Click here to apply

Data Engineer III

Job Description

To plan, design and implement scalable and robust data models and physical data models and ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Hello Future Data Engineer III

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.

The Credit Risk Modelling Analyst will be responsible for developing, maintaining, and enhancing credit risk models for provisions and regulatory capital across retail portfolios. This role requires strong analytical skills, innovative thinking, and the ability to manage stakeholder relationships while ensuring compliance with IFRS 9 and regulatory requirements.

Are you someone who can do:

• Provide input into the budget and manage and report on budget usage that reflects delivery of planned work within agreed parameters
• Control expenditure and identify process improvements to contain and reduce costs
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation
• Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards
• Conduct hands-on work related to profiling, documenting and validating the clients
• Execute remediation actions as agreed with client Install or update required system components
• Implement the necessary components and frameworks required for automated deployments and task scheduling
• Build unit and systems tests to ensure successful delivery of components into production
• Manage the user acceptance testing UAT and associated signoff through change control
• 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 knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirements
• Ensure compliance is adopted in terms of systems and procedures as laid out by organisation and review in response to audit findings and changes
• Develops an understanding of risks and risk management approaches
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialisation and identify risks
• Educates others and makes suggestions for improvements
• Networks and participates in specialist risk forums where required
• Test relevant data coming from database to ensure it is not corrupted to ensure use of best practices and technologies
• Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems
• Confer with end users, clients, or senior management to understand and translate business requirements for complex development or into technical requirements enhancements
• Assist with gap analysis and business cases including cost and effort analysis
• Work with team and stakeholders to continually assess and redefine data technology stack to support changing data patterns and business use cases and to bridge the gaps between Data Engineering, Business and Product by constantly collaborating with all parties to understand data needs
• Take ownership of data delivery end-to-end for specific business use cases, as well as set and manage SLAs (Service Level Agreements)
• Tackle complex, intricate production-scale problems with tenacity, following them wherever they may go throughout the technology stack
• Work closely with Information Architecture Head and the Data Architect to meet business area relevant objectives and ensure delivery of effective solutions
• Build and/ or propose infrastructure to automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges within area of accountability
• Contribute to the design and architecture of innovative solutions to difficult problems
• Create change scripts and set up scripts to be ready and implemented in production
• Contribute and add value to architecture forums and solutions design
• Utilise various components and tools which make up the data platform for enhanced service delivery
• Create requirements and design of the technical architecture, Design and development, testing, and deployment of the proposed solution
• Present technology solutions to senior leadership and influence architectures that will lead the transformation of our data analytics platform
• Conduct research on emerging technologies and provide expertise on technical environment or tools
• Recommend and implement technologies that improve cost effectiveness and systems flexibility for own area
• Provide Analytic infrastructure or big data technologies related support to Data operations and Analytic teams
• Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools
• Provide required support for project roll out and support team members
• Design, implement, quality assure and deploy ETL (Extract, Transform and Load) transformations to enhance the Data Eco System and workflows that load, analyse and archive customer transactional data
• Train relevant employees on accessing Data Eco System and how to make the best use of its contents
• Design, build, and evolve custom ETL processes for feeding consumer systems
• Acquire and collect data via ETL processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to the appropriate data platform standards
• Integrate data from multiple sources through the enterprise data platform architecture to meet the business objective
• Develop and maintain the physical data marts and databases
• Automate tasks related to data pipelines for the deployment of operational analytics
• Prepare and provision data for advanced analytical modelling by data scientists (as and when applicable)
• Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems
• Participate in planned activities that are appropriate for own development
• Develop, encourage and nurture collaborative relationships across area of specialisation

Additional role requirements

• Banking domain experience
• Cloud exposure (AWS or Azure)
• Performance optimisation
• Data quality & governance

You will be an ideal candidate if you have:

• Preferred Education: Grade 12 with a relevant post‑matric qualification, such as a Bachelor’s degree in computer science, Information Systems or similar.
• Experience: 2–5 years providing technical leadership and mentorship to Data Engineers working on Ab Initio platforms.
• Technical Skills:

• Extensive hands‑on experience with Ab Initio (GDE, EME, Conduct>It, Co>Operating System).
• Strong expertise in SQL and complex data transformations.
• Solid understanding of UNIX/Linux, shell scripting, and batch scheduling.
• Experience working with large‑scale relational databases (Oracle, DB2, Teradata, SQL Server, etc.).
• Strong understanding of ETL patterns, parallel processing, and performance tuning.

We can be a match if you are:

• Adaptable and curious
• Analyse complex data sets
• Thrive in a collaborative environment
• Projects and delivery focused

You will have access to:

• Challenging Work.
• Opportunities to network and collaborate with stakeholders at all levels of the organisation.
• Engage with subject matter experts to enhance and develop your skill set.
• Opportunities to innovate and use data analytics.

We can be a match if you are: 

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to do it.

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

#post

#FNB

#LI-CD1

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.08/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties

Click here to apply

Data Scientist

Job Description

The SFS analytics team supports the various products within SFS/FNB commercial with the aim to improve sales and processes and doing so with risk management in mind. The successful candidate will run with the more technical projects, that require not only technical expertise, but also someone that takes initiative, that is creative in their thinking and solution design and also has a broad understanding of the business in order to identify opportunities and exploit inefficiencies. As an intermediate quant in the team, you will provide support to the head of SFS analytics and run with your own projects, provide guidance to junior members of the team and get things done with minimal guidance.

• To undertake predictive modelling and the design of data products within FNB commercial/SFS analytics which either drive innovation or add value by
• a) reducing risk
• b) increasing sales/cross-selling/revenue/profits
• c) improve efficiency
• d) retaining existing customers or
• e) a combination of the above. Examples include clustering/hyper segmentation, propensity modelling, attrition modelling, data-driven insights that include channel behavior, preferred payment mechanism, attrition unpacking, ideal customer behavior, etc. 
•  Be heavily involved in the design of solutions for problems faced by stakeholders in FNB commercial/SFS, i.e. performing initial investigations into the problem and proposing a solution, building a business case for potential solutions, be heavily involved in POCs including A/B testing, etc. Also work closely with stakeholders to ensure the correct solution is designed and implemented.
• Assist with ad-hoc queries for stakeholders regarding existing solutions, newly implemented solutions or completely new solutions.
• Drive implementation of solutions on platform/production environments.
• Build/ guide other team members to build Power BI reports that display valuable insights and trends. 
• Managing relationships with senior stakeholders.
• Participate in code and peer reviews.

You will be working on many types of products including:

• Commercial Overdrafts
• Invoice discounting
• Leverage finance
• Guarantees
• Letters of Credit

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.08/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties

Click here to apply

Data Scientist III

Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced
mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Hello Future Data Scientist III

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 talent team at FNB HSL, 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:

• Develops innovative, fit-for-purpose advanced analytical solutions to improve business efficiency and outcomes.
• Manages the development and execution of capital and impairment strategies within the Home and Structured Lending portfolio, balancing risk and performance.
• Collaborates with stakeholders to identify and understand business problems, translate these into tangible models and translate technical outputs into business insights.
• Participates in specialist communities of practice and contribute positively to own and organisational knowledge improvement.
• Identify’s and commercialise untapped data opportunities to support strategic and revenue-generating initiatives.
• Build, document, validate, implement and maintain statistical models and applicable processes to address specific business requirements and ensure relevance and accuracy in evolving business contexts.
• Plan and perform regular model updates that capture evolving business complexity in current models.
• Challenge current models to ensure relevance and accuracy of outputs.
• Manage project deliverables and build cross-functional relationships to provide work support and ensure seamless stakeholder engagement.
• Apply mathematical and technical concepts to optimise predictive performance and efficiency.
• Contribute and adhere to model governance by providing input into localising policies and frameworks and ensuring ethical and privacy-compliant data usage.
• Productionize analytics within enterprise architecture and ensure high-quality, reliable data across the business.
• Support customer experience improvements through data-driven insights and strategic recommendations.
• Create visualisations and reports for technical and non-technical audiences, enabling informed decision-making.
• Act as a subject matter expert, assist junior analysts, and contribute to knowledge-sharing communities.
• Ensure compliance with legislative, governance, and internal standards across all analytics activities and stay current with industry developments.
• Build collaborative relationships across departments to support operational delivery and strategic alignment.

You will be an ideal candidate if you:

• Have a relevant Degree in Mathematics, Statistics, Engineering, Computer Science, Econometrics, Physics or Actuarial Science, Mathematics, or equivalent
• Credit risk experience is essential
• Capital Impairments experience is beneficial
• 5-8 years’ experience in a similar role required
• Strong SAS skills required

You will have access to:

• Opportunities to network and collaborate
• Challenging Working
• Opportunities to innovate

We can be a match if you are:

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to do it

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

#post

#fnb

#LI_LH1

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.05/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Click here to apply

Application Scoring Specialist (Senior Data Scientist)

Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced
mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Job Responsibilities:

• Design, develop, and peer review application scorecards, including reject inference techniques.
• Lead feature engineering initiatives to enhance model performance and business relevance.
• Collaborate with business stakeholders to align scorecard strategies with commercial objectives.
• Apply scoring models across diverse industries, bringing cross-sector insights to credit decisioning.
• Innovate and build predictive solutions in low-data environments, especially for SME lending.
• Provide thought leadership on model governance and industry best practices.
• Mentor and upskill junior analysts and data scientists through structured learning and hands-on guidance.
• Present technical concepts and strategic recommendations to executive-level stakeholders.
• Continuously evaluate and improve scoring methodologies using modern data science techniques.
• Manage multiple projects simultaneously.
• Be a leader in the development of PD models across the broader team, providing insights in best practice for Behavioral model developments.

Required Experience

• Minimum 5 years of hands-on experience in application scoring and credit risk modeling, with multiple completed models.
• Proven expertise in scorecard development, including reject inference and model validation.
• Strong proficiency in feature engineering and data preprocessing techniques.
• Experience working across multiple industries is a bonus (e.g., retail, telecoms, fintech, insurance).
• Ability to work with limited or imperfect data and still deliver robust, actionable models.
• Excellent communication skills with the ability to engage and influence senior business leaders.
• Demonstrated ability to mentor, teach, and learn junior team members, but at the same time drive and motivate the use of scoring to more executive stakeholders.
• Proficiency in tools such as SAS and paragon modeler.
• Experience with model deployment.

Preferred Attributes

• Experience in SME lending or alternative credit scoring.
• Familiar with industry best practice in application scoring.
• Exposure to machine learning techniques in scoring contexts.
• Experience in generating new features to be used in model development.
• Comfortable working in agile, cross-functional teams.

Qualifications

• Bsc/BCom Maths/Statistics/Mathematical Statistics/ BEng
• SAS is a prerequisite
• Paragon modeler experience would be advantageous

Why Join Us?

Work on high-impact projects that shape the future SME lending landscape and credit decisioning across industries.

Be part of a collaborative, innovative, and growth-oriented data science team.

Opportunity to lead and influence the future of scoring in emerging markets and SME sectors.

#Post

#FNB

#LI-AR4

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.09/05/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Click here to apply

We wish you all the best with your applications